I have to take participate in e-poster competetion in radiology conference give me to topics and idea

Reading File

Searching PubMed

radiology AND artificial intelligence

Searching the Web

radiology conference e-poster current trending topics AI dual energy CT photon counting 2025 2026

Finding Sources

Choose a topic that is focused, visual, clinically useful, and supported by cases or local data. Avoid very broad titles such as “Role of MRI in…” unless you can add an original audit, pictorial series, or a clear diagnostic algorithm.

Strong e-poster topic ideas

1. Photon-counting CT

Title: Photon-counting CT in clinical practice: Where higher resolution changes diagnosis
Idea: Compare conventional CT with photon-counting CT in temporal bone, coronary arteries, lung nodules, small fractures, or vascular calcification.
Why it works: It is current, technical, and highly visual. Photon-counting CT offers high spatial resolution, spectral capability, and potential dose and contrast advantages, as described in RSNA’s technical review.

2. AI in Emergency Radiology

Title: AI as the second reader in emergency CT: Helpful alerts, hidden pitfalls
Idea: Show examples of AI flagging intracranial hemorrhage, pulmonary embolism, cervical-spine fracture, pneumothorax, or large-vessel occlusion, together with examples of false positives and false negatives.
Best format: Case-based pictorial essay plus a “Radiologist remains responsible” workflow.
Why it works: It is relevant but balanced. Recent reviews show broad and growing AI applications in radiology, while implementation requires careful validation and training (systematic review).

3. Incidental Findings That Must Not Be Missed

Title: Beyond the primary indication: 10 incidental CT findings that change management
Examples: Adrenal lesion, pancreatic cyst, pulmonary nodule, renal mass, aortic aneurysm, thyroid nodule, liver lesion, ovarian lesion.
Idea: Make each case a “finding - risk - next step” box.
Best for: A practical, clinically impactful poster with readily available cases.

4. Dual-energy CT for Gout and Beyond

Title: Dual-energy CT: From urate mapping to marrow edema and metal artifact reduction
Idea: Present conventional CT versus dual-energy images in gout, occult fracture/bone marrow edema, pulmonary embolism iodine maps, and renal calculi.
Why it works: It makes an excellent image-rich poster and combines physics with practical reporting.

5. MRI of Sports Injuries

Title: The injured knee: MRI patterns that distinguish common mimics
Possible pairs: ACL tear versus partial tear, meniscal tear versus degeneration, bone bruise versus occult fracture, transient patellar dislocation versus ACL injury.
Idea: Use a diagnostic flowchart and annotated images.
Best for: Residents with access to MSK MRI cases.

6. Stroke Imaging Workflow

Title: Acute ischemic stroke imaging: From non-contrast CT to thrombectomy selection
Idea: One illustrated pathway: non-contrast CT, ASPECTS, CT angiography, CT perfusion, large-vessel occlusion, mimics, and common reporting errors.
Add value: Audit door-to-scan/reporting times at your institution, if possible.

7. Pulmonary Embolism Mimics on CT Pulmonary Angiography

Title: Not every filling defect is pulmonary embolism
Examples: Flow-related artifact, streak artifact, pulmonary artery sarcoma, in-situ thrombosis, septic emboli, chronic thromboembolic disease.
Why it works: Narrow, memorable, and ideal for a case-based e-poster.

8. Abdominal Trauma CT

Title: Small signs, major consequences: CT clues to hollow-viscus and mesenteric injury
Idea: Explain subtle findings: mesenteric stranding, bowel-wall hypoenhancement, free fluid without solid-organ injury, extraluminal air, active contrast extravasation.
Best for: Emergency radiology conferences.

9. Liver Imaging Using LI-RADS

Title: LI-RADS made visual: A practical MRI and CT approach to focal liver lesions in cirrhosis
Idea: Show arterial hyperenhancement, washout, capsule, threshold growth, LR-M features, and reporting templates.
Why it works: Direct clinical utility and clear educational structure.

10. Imaging of Female Pelvic Emergencies

Title: The acute pelvis: Ultrasound, CT, and MRI clues to time-critical diagnoses
Cases: Ectopic pregnancy, ovarian torsion, ruptured hemorrhagic cyst, tubo-ovarian abscess, appendicitis mimics.
Idea: Create a modality-selection and emergency decision algorithm.

11. Opportunistic CT Screening

Title: The CT scan beyond diagnosis: Opportunistic assessment of osteoporosis, sarcopenia, and fatty liver
Idea: Demonstrate how routine CT can yield quantitative biomarkers such as vertebral attenuation, skeletal-muscle area, and liver attenuation.
Why it works: A modern quantitative-imaging topic, especially strong if you can do a small retrospective local study.

12. Radiology and Climate-Smart Practice

Title: Greener radiology: Reducing repeat imaging, contrast waste, and radiation dose without compromising care
Idea: Local quality-improvement poster: appropriateness criteria, repeat-scan causes, dose-optimization initiatives, and digital workflow.
Why it works: Unusual conference topic with practical relevance.

My top 3 recommendations

“Not every filling defect is pulmonary embolism”
Best if you have interesting CTPA cases. It is focused and easy to make visually striking.
“Small signs, major consequences: CT clues to hollow-viscus and mesenteric injury”
Strong emergency-radiology topic with clear teaching points and high clinical relevance.
“AI as the second reader in emergency CT: Helpful alerts, hidden pitfalls”
Best if your conference values innovation. Keep it case-based rather than a generic AI overview. AI remains a widely discussed radiology topic, including in recent training literature (2026 systematic review).

A winning e-poster structure

One-line clinical problem
Learning objectives - 3 concise points
Brief technique or protocol
6-10 high-quality annotated images/cases
“Do not miss” imaging signs
A simple diagnostic algorithm
Key take-home messages - maximum 3
References and image permissions

Use short captions, arrows/circles only where necessary, and do not overcrowd the poster with paragraphs.

If you tell me your preferred subspecialty, such as neuro, chest, MSK, abdomen, pediatric, breast, or interventional radiology, and whether you have access to patient cases or only literature, I can give you one finalized title with a complete e-poster outline and slide-by-slide content.

I like ai topic can explain me in detail what should i do

Reading File

Searching PubMed

artificial intelligence radiology emergency

Searching the Web

RSNA AI radiology implementation validation bias workflow guidelines 2025

Finding Sources

AI as a Second Reader in Emergency Radiology: Value, Pitfalls, and a Safe Clinical Workflow

This is stronger than a broad “Artificial Intelligence in Radiology” poster because it answers a practical question:

How can AI help the emergency radiologist without replacing clinical and radiologist judgment?

It lets you show real imaging, explain AI outputs, demonstrate errors, and end with a workflow that is useful for daily practice.

Recent literature supports AI’s expanding role in radiology, but emphasizes the need for appropriate evaluation, integration, and human oversight (radiology AI systematic review). RSNA also highlights AI’s potential for workflow support and the need for practical, evidence-based implementation (RSNA AI framework).

First decide your poster type

Option A: Pictorial essay

Best choice if you do not have access to large data or installed AI software.

You use 6 to 8 selected teaching cases from your department or published cases, showing:

Original image
AI heatmap, detection marker, or simulated overlay
Final diagnosis
What AI did well
What could go wrong

This can be presented as an educational poster. You do not need statistical analysis.

Option B: Small retrospective audit

Best choice if your department already uses an AI tool, such as for:

Chest X-ray abnormality triage
Intracranial hemorrhage on CT
Stroke large-vessel occlusion
Pulmonary embolism
Pneumothorax
Fracture detection

Possible study question:

“Does AI-assisted triage reduce preliminary-report turnaround time for suspected intracranial hemorrhage on emergency CT?”

This needs permission from your department and possibly ethics/IRB approval according to your institution’s rules. Do not do this if the competition deadline is close or if you lack access to reports and AI outputs.

For most students and residents, Option A is safer and easier to make excellent.

Exact e-poster outline

1. Title section

AI as a Second Reader in Emergency Radiology: Value, Pitfalls, and a Safe Clinical Workflow

Include:

Your name and designation
Department/institution
Co-authors and guide
Conference logo, only if allowed

2. Background: 60 to 80 words

Suggested text:

Emergency imaging requires rapid detection of time-sensitive abnormalities. Artificial intelligence tools can prioritize examinations, identify suspected abnormalities, quantify disease burden, and assist report quality. However, AI output may be incorrect because of technical artifacts, atypical disease, dataset bias, or mismatch between training and local clinical practice. This pictorial essay illustrates the useful roles and limitations of AI in emergency radiology and proposes a radiologist-supervised workflow.

3. Learning objectives

Use only three:

Identify high-value uses of AI in emergency imaging.
Recognize common causes of false-positive and false-negative AI outputs.
Apply a safe radiologist-supervised AI workflow.

4. Where AI can help

Create a visual table with four columns:

Emergency task	AI function	Example	Clinical value
Triage	Prioritizes suspicious scans	Intracranial hemorrhage CT	Faster review of critical studies
Detection	Flags candidate lesions	Pneumothorax on chest X-ray	May reduce overlooked abnormalities
Quantification	Measures volume or severity	Hemorrhage volume, ASPECTS, PE clot burden	Standardized follow-up/communication
Communication	Checks reports or creates structured drafts	Laterality mismatch or missing finding	May reduce reporting errors

Avoid statements like “AI improves diagnosis” without specifying the application, reference standard, and patient setting.

5. The main section: 6 case panels

Use one diagnosis or one pitfall per panel. Make this 60% to 70% of the e-poster area.

Case 1: Intracranial hemorrhage triage

Images: Non-contrast head CT, with arrow to acute hemorrhage.
AI role: Flagged suspected intracranial hemorrhage and prioritized the examination.
Teaching point: AI can assist triage but does not establish hemorrhage type, cause, mass effect, or need for urgent neurosurgical action.

Caption example:
“AI correctly flagged a right basal ganglia hemorrhage. The final report must still assess hematoma volume, intraventricular extension, hydrocephalus, and herniation.”

Case 2: Large-vessel occlusion in acute stroke

Images: CTA maximum intensity projection and axial CT angiography.
AI role: Flagged possible M1 occlusion or perfusion mismatch.
Teaching point: Small-vessel occlusion, poor contrast bolus, motion, and chronic vascular occlusion may reduce reliability.

Case 3: Pneumothorax on portable chest X-ray

Images: Supine chest X-ray, with subtle pleural line/deep sulcus sign.
AI role: Highlighted an area suspicious for pneumothorax.
Teaching point: A line from skin fold, scapular border, clothing, or device may mimic pneumothorax.

Case 4: Pulmonary embolism on CTPA

Images: Axial and coronal CTPA with filling defect.
AI role: Identified possible embolus or quantified clot burden.
Teaching point: AI may confuse flow-related artifact, hilar lymph node, poor opacification, or chronic thrombus with acute embolism.

Case 5: Cervical-spine fracture

Images: Sagittal and axial CT bone windows.
AI role: Flagged a fracture candidate.
Teaching point: Detection is not enough. The radiologist must assess alignment, instability, ligamentous concern, canal compromise, and associated injury.

Case 6: False-negative AI case

This is important because it makes your poster balanced.

Possible example: Small subarachnoid hemorrhage, subtle cortical infarct, occult fracture, tiny pneumothorax, or subsegmental pulmonary embolus not highlighted by AI.
Teaching point: “No AI alert” must never be interpreted as “normal scan.”

6. Create a “Why AI fails” infographic

Make five simple boxes:

Patient factors

Atypical anatomy
Postoperative changes
Severe disease distortion
Pediatric or uncommon populations

Imaging factors

Motion
Low dose/noise
Incomplete coverage
Poor contrast bolus
Metal artifact

Dataset factors

Training data differs from local population
Under-representation of rare disease
Different scanner or protocol

Algorithm factors

Threshold setting
Poor calibration
Limited task-specific training

Human factors

Automation bias
Alert fatigue
Over-reliance on AI
Inadequate training

A recent RSNA discussion of large-language-model report proofreading also warns about hallucination, bias, and poor generalizability when models are insufficiently evaluated (RSNA report-AI article).

7. The key figure: Safe AI workflow

Make this as a horizontal flowchart:

Clinical request + imaging acquisition
↓
AI analyzes image and produces flag / score / segmentation
↓
Radiologist independently reviews all images
↓
Radiologist compares AI output with imaging and clinical context
↓
Final radiologist report and communication of urgent finding
↓
Periodic audit of AI accuracy, failures, turnaround time, and equity

Place this sentence beneath it:

AI is an assistive clinical decision-support tool, not an autonomous reporting system.

8. Take-home messages

Use three only:

AI can support triage, detection, quantification, and reporting in emergency radiology.
False positives and false negatives are expected, particularly with artifacts, atypical disease, and domain mismatch.
Independent image review and final responsibility remain with the radiologist.

Suggested reference list

Use 5 to 8 references, not 25.

Jahn J, Weiss J, Bamberg F. Applications of artificial intelligence in radiology. Radiologie. 2024. PubMed record
Morales-Cevallos MB, et al. Use of artificial intelligence in education and training of radiology. Frontiers in Radiology. 2026. PubMed record
Brin D, Tau N. Cost-effectiveness of artificial intelligence tools in radiology: a systematic review. European Radiology. 2026. PubMed record
Add one or two papers specific to each AI application you include, such as stroke CT, chest X-ray, or CTPA.

What images you need

Aim for:

6 to 8 anonymized cases
At least 2 images per case, ideally original plus annotated/AI output
Consistent image labels: A, B, C
Short annotations, not paragraphs
Arrows in one color and AI overlay in another, with a clear legend

If you do not have access to AI-generated heatmaps or outputs, do not falsely label a normal annotation as AI output. Instead:

Label it as “Illustrative AI target region”
Or make the poster specifically about “AI applications and pitfalls,” using annotated images and published evidence
Obtain supervisor approval for the wording and image use

Design plan

Use a clean white or very light background.
Use dark navy/black text.
Reserve one accent color, such as teal or blue, for headings and arrows.
Give priority to CT/X-ray images over text.
Use a large central workflow figure.
Keep font sizes readable on a screen: title very large, headings medium-large, body text minimal.
Check the conference’s required pixel size, aspect ratio, file type, word limit, and rule on patient images before designing.

Your practical 7-step workflow

Ask your guide for approval of the exact title.
Choose three to six emergency conditions for which you can obtain good cases.
Anonymize all DICOM screenshots completely, including name, ID, dates, accession numbers, and embedded demographics.
Collect the final diagnosis and one learning point for each case.
Draft the poster using the outline above.
Ask a radiologist to check every image label, claim, and reference.
Proofread, verify conference requirements, and export a high-resolution PDF or image as required.

The most competitive version is not “AI can detect many diseases.” It is:

“AI can be helpful in emergency imaging, but here are the exact places where the radiologist adds indispensable clinical judgment.”

Create a complete e-poster outline on AI in emergency radiology

Reading File

E-Poster Outline

Artificial Intelligence as a Second Reader in Emergency Radiology: Benefits, Pitfalls, and a Safe Workflow

Type: Educational pictorial essay
Recommended format: 16:9 landscape electronic poster
Target audience: Radiologists, residents, emergency physicians
Core message: AI can support triage and detection of time-sensitive imaging findings, but final image interpretation and clinical responsibility remain with the radiologist.

1. Title panel

Title

Artificial Intelligence as a Second Reader in Emergency Radiology: Benefits, Pitfalls, and a Safe Workflow

Authors

Your Name, Co-author(s), Guide/Faculty
Department of Radiodiagnosis, [Institution Name]

Optional subtitle

A case-based pictorial review of AI-assisted emergency imaging.

2. Background

Text for poster

Emergency radiology requires rapid and accurate detection of critical findings. Artificial intelligence (AI) tools are increasingly used to prioritize studies, flag suspected abnormalities, quantify disease burden, and assist reporting. However, AI performance may be affected by image quality, artifacts, atypical disease, differences in local patient populations, and over-reliance by users. This e-poster reviews high-value emergency applications of AI, illustrates common pitfalls, and presents a radiologist-supervised workflow for safe implementation.

Visual

Use a small emergency-room to CT scanner illustration or a clean workflow icon: Emergency patient → CT/X-ray → AI flag → Radiologist review → Final report

3. Learning objectives

By the end of this e-poster, viewers should be able to:

Identify major applications of AI in emergency radiology.
Recognize examples of AI-related false positives and false negatives.
Apply a safe workflow in which AI supports, but does not replace, the radiologist.

4. What can AI do in emergency radiology?

Use a four-column infographic or table.

AI function	Emergency imaging example	Potential benefit	Radiologist’s role
Triage	Intracranial hemorrhage on NCCT head	Prioritizes urgent examinations in worklists	Confirm the finding and assess severity
Detection	Pneumothorax on chest X-ray	Flags a subtle abnormality	Differentiate true lesion from mimic/artifact
Classification	Acute versus chronic vertebral compression fracture	Supports pattern recognition	Integrate clinical and multimodality findings
Quantification	Hemorrhage volume, ischemic core, clot burden	Standardizes measurements	Verify segmentation and clinical relevance
Report support	Missing laterality or contradictory statements	May reduce report errors	Review and approve final report

Short key statement

AI is most useful when it performs a specific, validated task within a clearly defined clinical workflow.

5. Case-based pictorial section

Use six cases. Each case should occupy a similar-sized panel.

For every case, include:

Clinical presentation
Imaging modality
Image A: original image
Image B: AI flag, heatmap, segmentation, or illustrative target overlay
Final diagnosis
“AI value”
“Pitfall / radiologist check”

If your department does not use AI software, label your annotation clearly as:
“Illustrative region commonly targeted by AI”
Do not present manually drawn arrows as genuine AI outputs.

Case 1: Intracranial hemorrhage on non-contrast CT

Clinical scenario

A 62-year-old patient presented with sudden headache and left-sided weakness.

Images to include

Axial NCCT image showing basal ganglia hemorrhage
Coronal reformatted CT image
Optional AI alert screenshot or illustrative red overlay

Final diagnosis

Acute right basal ganglia hemorrhage with intraventricular extension
Modify this according to your actual case.

AI value

May identify suspected hemorrhage.
May prioritize the CT study in an emergency worklist.
May help estimate hemorrhage volume.

Pitfall / radiologist check

AI detection alone does not replace assessment for:

Hemorrhage location
Intraventricular extension
Hydrocephalus
Mass effect and midline shift
Underlying lesion or vascular cause

Teaching point

AI may accelerate triage, but severity assessment and urgent communication remain radiologist-led tasks.

Case 2: Large-vessel occlusion in acute ischemic stroke

Clinical scenario

A 68-year-old patient presented within the thrombolysis/thrombectomy time window with aphasia and hemiparesis.

Images to include

CT angiography axial image
CTA MIP image demonstrating MCA occlusion
CT perfusion color map, if available
AI occlusion marker or illustrative overlay

Final diagnosis

Acute proximal middle cerebral artery occlusion
Adapt to your actual case.

AI value

May flag suspected large-vessel occlusion.
May assist with ischemic-core and penumbra quantification.
May expedite stroke-team notification.

Pitfall / radiologist check

Potential errors may occur with:

Poor contrast bolus timing
Motion degradation
Chronic vessel occlusion
Severe intracranial atherosclerosis
Small distal branch occlusions

Teaching point

AI can support time-critical stroke imaging, but vessel assessment and treatment suitability need expert review and clinical correlation.

Case 3: Pneumothorax on portable chest radiograph

Clinical scenario

A trauma patient underwent supine portable chest radiography.

Images to include

AP supine chest X-ray
Zoomed image showing deep sulcus sign or pleural line
Optional CT correlation if available

Final diagnosis

Right-sided pneumothorax
Adapt to your case.

AI value

May flag subtle pneumothorax for priority review.
May be useful during high-volume emergency reporting.

Pitfall / radiologist check

Common false-positive mimics:

Skin folds
Scapular border
Clothing folds
Bed sheet or monitor leads
Bullae
Overlying soft-tissue shadows

Teaching point

An AI alert for pneumothorax should trigger careful image review, not automatic acceptance of the diagnosis.

Case 4: Pulmonary embolism on CT pulmonary angiography

Clinical scenario

A 45-year-old patient presented with acute dyspnea, tachycardia, and elevated D-dimer level.

Images to include

Axial CTPA image
Coronal CTPA image
Optional vessel segmentation or clot-burden overlay

Final diagnosis

Acute pulmonary embolism in segmental/lobar pulmonary arteries
Use your actual case diagnosis.

AI value

May assist in detection of filling defects.
May quantify clot burden.
May support right-heart strain evaluation when validated for that task.

Pitfall / radiologist check

Potential mimics or sources of error:

Flow-related contrast artifact
Poor opacification
Respiratory motion
Beam-hardening artifact
Chronic thromboembolic disease
Pulmonary artery tumor, rarely

Teaching point

A filling defect must be evaluated in multiple planes and interpreted with image quality and clinical context.

Case 5: Cervical-spine fracture on trauma CT

Clinical scenario

A patient following a road traffic collision underwent cervical-spine CT.

Images to include

Sagittal bone-window CT
Axial CT through fracture site
Coronal image, if useful
AI fracture flag or illustrative overlay

Final diagnosis

Cervical-spine fracture, for example C2 pars fracture, facet fracture, or vertebral-body fracture.

AI value

May flag fracture candidates.
May assist in reducing missed fractures on high-volume trauma CT studies.

Pitfall / radiologist check

The radiologist must still assess:

Alignment
Canal compromise
Facet injury
Multilevel fractures
Prevertebral soft-tissue swelling
Need for MRI when ligamentous injury is suspected

Teaching point

Detecting a fracture is not equivalent to determining spinal stability.

Case 6: A false-negative AI case

This case is essential because it makes the poster credible and balanced.

Suggested example

Small subarachnoid hemorrhage
Subtle non-displaced fracture
Early ischemic change on NCCT
Tiny pneumothorax
Subsegmental pulmonary embolus

Clinical scenario

A patient with acute symptoms had a subtle but clinically meaningful imaging abnormality that was not flagged by AI.

Images to include

Original image with subtle abnormality
Zoomed image with your teaching annotation
Confirmatory follow-up CT/MRI, if available

Key text

AI output: No alert / no high-probability flag
Final diagnosis: [Your diagnosis]

Teaching point

The absence of an AI alert must never be interpreted as a normal examination.

6. Why can AI fail?

Make this section as five color-coded boxes with simple icons.

A. Patient-related factors

Altered anatomy
Postsurgical change
Rare diseases
Severe multisystem trauma
Pediatric or under-represented populations

B. Image-related factors

Motion artifact
Poor contrast opacification
Low-dose image noise
Metal artifact
Incomplete coverage
Non-standard acquisition protocol

C. Algorithm-related factors

Task-specific limitations
Uncertain threshold selection
Limited external validation
Poor calibration in a new setting
Performance drift over time

D. Dataset-related factors

Training population differs from local population
Inadequate representation of unusual pathology
Scanner or protocol differences
Labeling errors in training data

E. Human-related factors

Automation bias
Alert fatigue
Failure to review the full examination
Inadequate understanding of AI output
Use outside the tool’s intended clinical purpose

Highlighted statement

AI errors can arise from the patient, the image, the algorithm, the data, or the user.

7. Safe implementation workflow

Use this as the central infographic in the lower middle area of the poster:

Emergency imaging study acquired
              ↓
AI performs a validated, task-specific analysis
              ↓
AI generates flag / score / segmentation / prioritization
              ↓
Radiologist independently reviews the complete examination
              ↓
Radiologist compares AI output with images and clinical context
              ↓
Final radiologist report and urgent communication
              ↓
Ongoing audit: accuracy, turnaround time, failure modes, equity

Add this statement under the workflow

AI is a clinical decision-support tool. The radiologist remains responsible for image interpretation, communication, and the final report.

8. Practical checklist before using AI output

Use a short checklist with tick-box design.

Before accepting an AI finding, ask:

Is the image technically adequate?
Is the study within the AI tool’s intended use?
Does the AI finding appear on more than one image or plane?
Does it fit the clinical presentation?
Could artifact or normal anatomy explain the alert?
Has the entire examination been independently reviewed?
Is urgent communication required regardless of the AI result?

9. Take-home messages

Use only three statements in a large box:

AI can assist triage, detection, quantification, and reporting in emergency radiology.
False-positive and false-negative AI outputs are unavoidable and must be anticipated.
Independent radiologist review, clinical correlation, and final accountability remain essential.

10. References

Keep references small but readable. Use 5 to 8 strong references.

Jahn J, Weiss J, Bamberg F. Applications of artificial intelligence in radiology. Radiologie. 2024. PubMed abstract
Morales-Cevallos MB, Ma Lam CB, López Pino MJ. Use of artificial intelligence in education and training of radiology. Frontiers in Radiology. 2026. PubMed abstract
Brin D, Tau N. Cost-effectiveness of artificial intelligence tools in radiology: a systematic review. European Radiology. 2026. PubMed abstract
Add one peer-reviewed reference for each selected application, for example intracranial hemorrhage detection, stroke LVO detection, pneumothorax detection, pulmonary embolism detection, and fracture detection.
Use your hospital’s approved local policy for AI governance, patient privacy, and image use, if available.

Evidence update: Recent systematic reviews support expanding AI use in radiology, but the poster should avoid claiming universal diagnostic improvement. Performance depends on the clinical task, population, image quality, validation, and workflow.

Suggested layout

Top row

Title
Author details
Background
Learning objectives

Left column

What can AI do?
Cases 1 to 3

Center column

Cases 4 to 6
Large “Safe AI workflow” infographic

Right column

Why AI can fail
Practical checklist
Take-home messages
References

Design rules

Use a white or pale gray background.
Use dark blue or black text.
Use one accent color, such as teal or blue.
Keep text minimal and let imaging occupy at least 60% of the poster.
Use the same arrow style and labeling system throughout.
Label every image with modality and plane, for example:
“Axial NCCT head”, “Coronal CTPA”, “Sagittal CT cervical spine, bone window.”
Remove all patient identifiers from images, including name, ID, dates, accession number, and embedded metadata.
Obtain institutional approval for clinical-image use according to your department and conference rules.

This outline works best as a 6-case educational pictorial essay. It is achievable without needing access to an actual commercial AI platform, while still being scientifically balanced and visually strong.

GENERAL GUIDELINES FOR ORAL PAPER & E-POSTER Life/Provisional Membership of IMA is mandatory. • Abstract must be in English having words of 250 only. Name of the presenting author to be followed by names of co-authors, maximum of 6 co-authors and lastly name of Institution. Please ensure that your abstract is properly structured with correct spellings and grammar. Submissions that are not in the prescribed format will not be entertained. DO NOT submit the same abstract for Electronic poster and the Scientific oral paper presentation, as this will cause duplicate submissions. Ensure that all the changes and correction and proof reading have been carried out before submission No changes in the abstract contents and the authorship will be allowed after the final submission. All selected presenters will get a participation certificate. Prizes will be awarded for toppers in each category. Abstract submission by online submission only. All abstracts will be reviewed by the members of the scientific committee and educational committee and will be judged on scientific value, potential clinical value, originality of the work and impact factor. The decision of the acceptance / rejection of abstract by the scientific committee is final. No review or revision or influences

Reading File

These guidelines mean your AI in Emergency Radiology entry should be submitted as an e-poster only, not also as an oral paper.

Submission checklist

IMA life/provisional membership is mandatory.
Abstract must be in English and exactly 250 words.
Include:
1. Poster title
2. Presenting author first
3. Up to 6 co-authors
4. Institution name last
Use a structured scientific abstract with correct grammar.
Finalize author order and content before submission, because changes are not permitted afterward.
Your abstract should demonstrate:
- Scientific merit
- Clinical relevance
- Originality
- Potential impact

Best approach for your topic

For better acceptance, frame it as a case-based educational pictorial essay, rather than making unsupported claims about AI accuracy.

Recommended title:
Artificial Intelligence as a Second Reader in Emergency Radiology: Benefits, Pitfalls, and a Safe Workflow

Suggested 250-word abstract structure

Background: Why emergency imaging needs rapid triage and how AI may help.
Aim: To illustrate AI applications, errors, and radiologist-supervised use.
Materials and Methods: Retrospective pictorial review of selected anonymized emergency imaging cases, such as intracranial hemorrhage, large-vessel occlusion, pneumothorax, pulmonary embolism, and trauma fractures.
Results/Observations: AI may support prioritization, detection, and quantification, but image artifacts and atypical pathology can generate false alerts or missed findings.
Conclusion: AI should serve as a second reader; independent radiologist interpretation remains essential.

Do not claim that your own department’s AI “improved accuracy” or “reduced turnaround time” unless you have real audited data and permission to use it.

Can suggest other topic than this

Reading File

Searching PubMed

emergency radiology imaging

Searching the Web

radiology 2026 conference emerging imaging topics photon counting CT opportunistic screening dual energy emergency

Finding Sources

Here are stronger alternatives that are more focused and easier to turn into a high-scoring 250-word e-poster abstract than a general AI topic.

Best topic choices

1. Not Every Pulmonary Artery Filling Defect Is Pulmonary Embolism: A CT Pulmonary Angiography Pictorial Essay

Why choose it: Common emergency study, excellent image-based teaching, strong clinical impact.
Include: True acute PE, flow artifact, chronic thromboembolism, pulmonary artery sarcoma, and streak artifact.
Best if: You have access to 5-6 good CTPA cases.

2. Small Signs, Major Consequences: CT Features of Hollow-Viscus and Mesenteric Injury in Blunt Abdominal Trauma

Why choose it: High clinical importance, strong emergency-radiology relevance, less commonly chosen than solid-organ trauma.
Include: Free fluid without solid-organ injury, bowel-wall hypoenhancement, mesenteric hematoma, active extravasation, pneumoperitoneum, bowel discontinuity.
Best if: Your institution has trauma CT cases.

3. The Acute Abdomen: CT Clues to Surgical Emergencies That Must Not Be Missed

Why choose it: Very practical and visually rich.
Possible cases: Closed-loop obstruction, bowel ischemia, perforation, appendicitis complications, volvulus, emphysematous cholecystitis, mesenteric ischemia.
Tip: Narrow it to “six CT signs” rather than attempting every emergency.

4. Dual-Energy CT in the Emergency Department: Beyond Conventional CT

Why choose it: Modern technology topic with a clear educational angle. Dual-energy CT has applications in iodine mapping, gout, renal-stone composition, metal-artifact reduction, and virtual non-calcium images for occult bone injury.
Possible title refinement:
“Dual-Energy CT in Emergency Imaging: A Pictorial Review of High-Yield Applications.”
Dual-energy CT is a well-established and evolving technique across different clinical settings, including spectral and material-specific imaging (Grainger & Allison’s Diagnostic Radiology).

5. The Invisible Fracture: Role of MRI and Dual-Energy CT in Occult Trauma

Why choose it: Focused, clinically relevant, and less overdone.
Include: Occult hip fracture, scaphoid fracture, tibial plateau fracture, vertebral fracture, and bone-marrow edema.
Best if: You can obtain CT, MRI, and follow-up correlation.

6. Acute Aortic Syndrome: A CT Angiography Pictorial Review

Why choose it: High-impact and ideal for clear annotated images.
Include: Aortic dissection, intramural hematoma, penetrating atherosclerotic ulcer, rupture signs, branch-vessel involvement, and imaging mimics.
Strong title:
“Acute Aortic Syndrome on CT Angiography: Recognize the Spectrum, Avoid the Mimics.”

7. Pediatric Chest Radiography in the Emergency Department: Pattern-Based Approach to Respiratory Distress

Why choose it: Good topic if your department sees many pediatric cases.
Include: Bronchiolitis, pneumonia, aspiration, foreign-body aspiration, pneumothorax, congenital diaphragmatic hernia, and pulmonary edema.
Strength: High clinical relevance with simple, readable images.

8. MRI in Acute Knee Trauma: A Pattern-Based Approach to Internal Derangement

Why choose it: Accessible cases and very visual.
Include: ACL tear, meniscal tears, patellar dislocation, osteochondral injury, PCL injury, and posterolateral-corner injury.
Make it stronger: Focus on “bone bruise patterns that reveal occult ligament injury.”

9. Incidental Findings on Emergency CT: What the Radiologist Should Not Ignore

Why choose it: Easy to collect cases and has direct clinical value.
Include: Lung nodule, adrenal mass, pancreatic cyst, renal lesion, abdominal aortic aneurysm, liver lesion, and ovarian lesion.
Important: Add a short “recommended next step” for every finding.

10. CT in Acute Stroke: A Practical Imaging Pathway From Non-Contrast CT to Thrombectomy Selection

Why choose it: Very relevant and structured.
Include: Early ischemic changes, ASPECTS, hyperdense vessel sign, CTA occlusion, perfusion mismatch, hemorrhagic transformation, and stroke mimics.
Best if: You have CT, CTA, and CT perfusion cases.

11. The Acute Scrotum: Ultrasound Doppler Findings That Change Management

Why choose it: Narrow, high-stakes, and easy to explain.
Include: Testicular torsion, epididymo-orchitis, torsion of appendix testis, trauma, infarction, and incarcerated inguinoscrotal hernia.
Strength: Good mix of imaging and clinical urgency.

12. Ovarian Torsion: Multimodality Imaging Clues in a Time-Critical Diagnosis

Why choose it: Highly clinically relevant and suitable for ultrasound, CT, and MRI images.
Include: Enlarged ovary, peripheral follicles, twisted pedicle, stromal edema, absent/reduced Doppler flow, and hemorrhagic infarction.

My recommendation for the best chance of a prize

Choose one of these based on your available cases:

If you have access to...	Choose this topic
Trauma CT cases	Hollow-viscus and mesenteric injury in blunt trauma
CTPA cases	PE mimics on CTPA
Stroke CT/CTA cases	Acute stroke imaging pathway
MRI trauma cases	Occult fractures: MRI and dual-energy CT
Emergency ultrasound cases	Acute scrotum or ovarian torsion
Technology cases	Dual-energy CT in emergency imaging

My first choice

“Small Signs, Major Consequences: CT Features of Hollow-Viscus and Mesenteric Injury in Blunt Abdominal Trauma.”

It is focused, original enough for an e-poster competition, highly relevant to emergency care, and can be made very image-heavy with concise teaching points. It also avoids needing access to proprietary AI software or making claims that require a formal research audit.

Current radiology meeting trends include advanced CT techniques, opportunistic imaging, AI, and photon-counting CT, but a focused, case-based emergency topic often has clearer educational impact than a broad technology overview (RSNA trending topics).

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Strong e-poster topic ideas

1. Photon-counting CT

2. AI in Emergency Radiology

3. Incidental Findings That Must Not Be Missed

4. Dual-energy CT for Gout and Beyond

5. MRI of Sports Injuries

6. Stroke Imaging Workflow

7. Pulmonary Embolism Mimics on CT Pulmonary Angiography

8. Abdominal Trauma CT

9. Liver Imaging Using LI-RADS

10. Imaging of Female Pelvic Emergencies

11. Opportunistic CT Screening

12. Radiology and Climate-Smart Practice

My top 3 recommendations

A winning e-poster structure

Recommended e-poster topic

AI as a Second Reader in Emergency Radiology: Value, Pitfalls, and a Safe Clinical Workflow

First decide your poster type

Option A: Pictorial essay

Option B: Small retrospective audit

Exact e-poster outline

1. Title section

2. Background: 60 to 80 words

3. Learning objectives

4. Where AI can help

5. The main section: 6 case panels

Case 1: Intracranial hemorrhage triage

Case 2: Large-vessel occlusion in acute stroke

Case 3: Pneumothorax on portable chest X-ray

Case 4: Pulmonary embolism on CTPA

Case 5: Cervical-spine fracture

Case 6: False-negative AI case

6. Create a “Why AI fails” infographic

Patient factors

Imaging factors

Dataset factors

Algorithm factors

Human factors

7. The key figure: Safe AI workflow

8. Take-home messages

Suggested reference list

What images you need

Design plan

Your practical 7-step workflow

E-Poster Outline

Artificial Intelligence as a Second Reader in Emergency Radiology: Benefits, Pitfalls, and a Safe Workflow

1. Title panel

Title

Authors

Optional subtitle

2. Background

Text for poster

Visual

3. Learning objectives

4. What can AI do in emergency radiology?

Short key statement

5. Case-based pictorial section

Case 1: Intracranial hemorrhage on non-contrast CT

Clinical scenario

Images to include

Final diagnosis

AI value

Pitfall / radiologist check

Teaching point

Case 2: Large-vessel occlusion in acute ischemic stroke

Clinical scenario

Images to include

Final diagnosis

AI value

Pitfall / radiologist check

Teaching point

Case 3: Pneumothorax on portable chest radiograph

Clinical scenario

Images to include

Final diagnosis

AI value

Pitfall / radiologist check

Teaching point

Case 4: Pulmonary embolism on CT pulmonary angiography

Clinical scenario