Tell me everything about this report
~/
~/attachments/694822c5-323c-4717-88b4-b152c141f842
python - <<'PY' from pypdf import PdfReader p='/tmp/workspace/attachments/694822c5-323c-4717-88b4-b152c141f842/MSRI1092103_210505_Head.pdf' r=PdfReader(p) print('PAGES',len(r.pages)) print('META',r.metadata) for i,page in enumerate(r.pages): print(f'\n===== PAGE {i+1} =====') print(page.extract_text() or '[NO EXTRACTED TEXT]') PY
Choose the section to start with.
~/
~/attachments
~/attachments/694822c5-323c-4717-88b4-b152c141f842
mkdir -p "/tmp/workspace/report-review/rendered" "/tmp/workspace/report-review/ocr" && python - <<'PY' import fitz, os p='/tmp/workspace/attachments/694822c5-323c-4717-88b4-b152c141f842/MSRI1092103_210505_Head.pdf' out='/tmp/workspace/report-review/rendered' doc=fitz.open(p) print('pages',len(doc)) for i,page in enumerate(doc): pix=page.get_pixmap(matrix=fitz.Matrix(3,3), alpha=False) f=os.path.join(out,f'page-{i+1:02d}.png') pix.save(f) print(f, pix.width, pix.height) PY python - <<'PY' import shutil, importlib.util print('tesseract', shutil.which('tesseract')) print('pytesseract', importlib.util.find_spec('pytesseract')) print('easyocr', importlib.util.find_spec('easyocr')) PY
RadiologyInfo how to understand a radiology report findings impression
python - <<'PY' import importlib.util for x in ['pypdfium2','pdf2image','wand','PIL','cv2','keras_ocr','doctr','rapidocr_onnxruntime','paddleocr']: print(x, bool(importlib.util.find_spec(x))) PY command -v pdftoppm || true; command -v gs || true; command -v mutool || true
https://www.radiologyinfo.org/en/info/article-brain-mri-repo…
rm -rf "/tmp/workspace/report-review/rendered" && mkdir -p "/tmp/workspace/report-review/rendered" && pdftoppm -png -r 300 "/tmp/workspace/attachments/694822c5-323c-4717-88b4-b152c141f842/MSRI1092103_210505_Head.pdf" "/tmp/workspace/report-review/rendered/page" && ls -lh "/tmp/workspace/report-review/rendered"
python - <<'PY' from PIL import Image,ImageDraw import os, glob ps=sorted(glob.glob('/tmp/workspace/report-review/rendered/*.png')) ims=[] for i,p in enumerate(ps,1): im=Image.open(p).convert('RGB'); im.thumbnail((430,600)); canvas=Image.new('RGB',(450,640),'white'); canvas.paste(im,((450-im.width)//2,35)); ImageDraw.Draw(canvas).text((10,10),f'Page {i}',fill='black') ims.append(canvas) out=Image.new('RGB',(450*3,640*3),'white') for i,im in enumerate(ims):out.paste(im,((i%3)*450,(i//3)*640)) out.save('/tmp/workspace/report-review/contact-sheet.png') print(out.size) PY
python - <<'PY' from PIL import Image import os,glob src=sorted(glob.glob('/tmp/workspace/report-review/rendered/*.png')) out='/tmp/workspace/report-review/preview';os.makedirs(out,exist_ok=True) for p in src: im=Image.open(p).convert('RGB') im.thumbnail((1000,1400)) q=72 fn=os.path.join(out,os.path.basename(p).replace('.png','.jpg')) im.save(fn,'JPEG',quality=q,optimize=True) print(fn, os.path.getsize(fn)) # contact im=Image.open('/tmp/workspace/report-review/contact-sheet.png').convert('RGB');im.thumbnail((900,1280));im.save('/tmp/workspace/report-review/contact-sheet.jpg','JPEG',quality=60,optimize=True) print('contact',os.path.getsize('/tmp/workspace/report-review/contact-sheet.jpg')) PY
brain MRI radiology report patient communication
python -m pip install --user rapidocr_onnxruntime >/tmp/workspace/report-review/pip-install.log 2>&1; python - <<'PY' from rapidocr_onnxruntime import RapidOCR import glob,os engine=RapidOCR() out=[] for p in sorted(glob.glob('/tmp/workspace/report-review/rendered/*.png')): r,elapse=engine(p) print('\n###',os.path.basename(p),'elapsed',elapse) if r: for line in r: print(line[1]) out.extend([f'### {os.path.basename(p)}']+[str(x[1]) for x in r]) open('/tmp/workspace/report-review/ocr/report-ocr.txt','w').write('\n'.join(out)) PY
This is a file of my blood reports please explain me everything in ut
python - <<'PY' from pathlib import Path p=Path('/tmp/workspace/report-review/pip-install.log') print(p.read_text(errors='replace')[-5000:] if p.exists() else 'No pip log') PY python - <<'PY' import importlib.util print('onnxruntime',importlib.util.find_spec('onnxruntime')) print('torch',importlib.util.find_spec('torch')) PY
python -m pip install --target "/tmp/workspace/report-review/python-packages" rapidocr_onnxruntime >/tmp/workspace/report-review/pip-target-install.log 2>&1 && PYTHONPATH="/tmp/workspace/report-review/python-packages:$PYTHONPATH" python - <<'PY' from rapidocr_onnxruntime import RapidOCR import glob,os engine=RapidOCR() out=[] for p in sorted(glob.glob('/tmp/workspace/report-review/rendered/*.png')): r,e=engine(p) out.append('\n### '+os.path.basename(p)) if r: for item in r: out.append(item[1]) open('/tmp/workspace/report-review/ocr/report-ocr.txt','w').write('\n'.join(out)) print('\n'.join(out)) PY
| Area | Result | Meaning |
|---|---|---|
| Vitamin D | 59.46 ng/mL | Normal/sufficient |
| Vitamin B12 | 375 pg/mL | Normal |
| Hemoglobin | 14.3 g/dL | Normal, no anemia |
| MCH | 26.6 pg | Slightly low |
| HbA1c | 5.1% | Normal, not in prediabetes/diabetes range |
| Fasting glucose | 77.44 mg/dL | Normal |
| Liver tests | Mostly normal | GGT is elevated at 72.21 U/L |
| Total cholesterol | 219.91 mg/dL | Borderline high |
| LDL cholesterol | 142.52 mg/dL | Borderline high |
| Kidney tests | Within reported limits | Creatinine is near the upper end |
| Thyroid profile | Normal overall | T3 is low-normal, but T4 and TSH are normal |
| Test | Your result | Lab range | Interpretation |
|---|---|---|---|
| Hemoglobin | 14.3 g/dL | 13-17 | Normal |
| Hematocrit/PCV | 43.5% | 40-50 | Normal |
| RBC count | 5.38 million/cmm | 4.5-5.5 | Normal, near upper end |
| MCV | 81 fL | 80-100 | Low-normal |
| MCH | 26.6 pg | 27-32 | Slightly low |
| MCHC | 32.9% | 32-36 | Normal |
| RDW-CV | 14.4% | 11.5-14.5 | Normal, upper end |
| Test | Result | Interpretation |
|---|---|---|
| Total WBC/TLC | 9,240 cells/cmm | Normal |
| Neutrophils | 56.3% | Normal |
| Lymphocytes | 36.1% | Normal |
| Eosinophils | 5.3% | Normal |
| Monocytes | 2.3% | Normal |
| Absolute neutrophils | 5.20 x10³/µL | Normal |
| Absolute lymphocytes | 3.34 x10³/µL | Normal |
| Absolute eosinophils | 0.49 x10³/µL | At the high end but still within range |
| Test | Result | Lab range | Interpretation |
|---|---|---|---|
| Total bilirubin | 0.75 mg/dL | 0.1-1.2 | Normal |
| Direct bilirubin | 0.28 mg/dL | 0-0.30 | Normal, near upper end |
| AST/SGOT | 19.34 U/L | 8-35 | Normal |
| ALT/SGPT | 26.11 U/L | 10-35 | Normal |
| Alkaline phosphatase | 95.56 U/L | 30-120 | Normal |
| GGT | 72.21 U/L | 8-55 | Mildly elevated |
| Albumin | 4.77 g/dL | 3.5-5.0 | Normal |
| Total protein | 7.63 g/dL | 6.4-8.3 | Normal |
| Test | Result | Interpretation |
|---|---|---|
| Total cholesterol | 219.91 mg/dL | Borderline high |
| HDL cholesterol | 49.72 mg/dL | In the lab’s normal range |
| LDL cholesterol | 142.52 mg/dL | Borderline high |
| Triglycerides | 138.36 mg/dL | Normal |
| VLDL | 27.67 mg/dL | Normal |
| Non-HDL cholesterol | 170.19 mg/dL | Above desirable |
| Total cholesterol/HDL ratio | 4.42 | Not alarming, but improving LDL remains useful |
| LDL/HDL ratio | 2.87 | Context-dependent |
| Test | Result | Lab range | Interpretation |
|---|---|---|---|
| Urea | 26.88 mg/dL | 15-39 | Normal |
| Creatinine | 1.28 mg/dL | 0.60-1.30 | Normal but near upper limit |
| Uric acid | 6.69 mg/dL | 3.5-7.2 | Normal, near upper end |
| Phosphorus | 2.95 mg/dL | 2.5-4.8 | Normal |
| Calcium | 10.29 mg/dL | 8.3-10.3 | Normal, near upper end |
| Test | Result | Lab range | Interpretation |
|---|---|---|---|
| T3 | 0.63 ng/mL | 0.61-1.81 | Low end of normal |
| T4 | 8.20 µg/dL | 5.01-12.45 | Normal |
| TSH | 1.874 µIU/mL | 0.55-4.78 | Normal |