See the ct report of knee joint and diagnosis any damage
knee CT report interpretation bone injury limitations meniscus ligament MRI official radiology guidance
knee computed tomography injury
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python -c "from pypdf import PdfReader; p='/tmp/workspace/attachments/0f727d1a-479d-4490-a38c-6e97fd52045b/New Doc 09-13-2026 10.42.pdf'; r=PdfReader(p); print('PAGES',len(r.pages)); [print('---PAGE',i+1,'---\n',pg.extract_text() or '[NO EXTRACTABLE TEXT]') for i,pg in enumerate(r.pages)]"
mkdir -p "/tmp/workspace/knee-ct-review/output" && python -c "import fitz; src='/tmp/workspace/attachments/0f727d1a-479d-4490-a38c-6e97fd52045b/New Doc 09-13-2026 10.42.pdf'; doc=fitz.open(src); page=doc[0]; pix=page.get_pixmap(matrix=fitz.Matrix(2.5,2.5), alpha=False); pix.save('/tmp/workspace/knee-ct-review/output/report_page_1.png'); print(pix.width, pix.height)"
python -c "from pypdf import PdfReader; p='/tmp/workspace/attachments/0f727d1a-479d-4490-a38c-6e97fd52045b/New Doc 09-13-2026 10.42.pdf'; r=PdfReader(p); pg=r.pages[0]; print('images',len(pg.images)); [(open('/tmp/workspace/knee-ct-review/output/'+im.name,'wb').write(im.data),print(im.name,len(im.data))) for im in pg.images]"
python -c "from PIL import Image; p='/tmp/workspace/knee-ct-review/output/X2.jpg'; im=Image.open(p); print(im.size); im.thumbnail((1600,1600)); im.save('/tmp/workspace/knee-ct-review/output/report_preview.jpg',quality=85,optimize=True); print(Image.open('/tmp/workspace/knee-ct-review/output/report_preview.jpg').size)"
python -c "from PIL import Image; p='/tmp/workspace/knee-ct-review/output/X2.jpg'; im=Image.open(p); im.thumbnail((700,900)); im.save('/tmp/workspace/knee-ct-review/output/report_small.jpg',quality=65,optimize=True); import os; print(im.size,os.path.getsize('/tmp/workspace/knee-ct-review/output/report_small.jpg'))"
python -c "mods=['easyocr','paddleocr','keras_ocr','cv2']; import importlib.util; print([(m, bool(importlib.util.find_spec(m))) for m in mods])"
python -c "import importlib.util; print('pytesseract',bool(importlib.util.find_spec('pytesseract')))"; which tesseract || true
pip install --user easyocr -q
python -c "import importlib.util; mods=['torch','torchvision','transformers','rapidocr_onnxruntime','onnxruntime','paddle']; print([(m,bool(importlib.util.find_spec(m))) for m in mods])"
pip install easyocr -q
python -c "import easyocr; r=easyocr.Reader(['en'],gpu=False,verbose=False); x=r.readtext('/tmp/workspace/knee-ct-review/output/X2.jpg',detail=0,paragraph=True); print('\n'.join(x))"
python -c "from PIL import Image; im=Image.open('/tmp/workspace/knee-ct-review/output/X2.jpg'); w,h=im.size; im.crop((0,0,w,h//2)).resize((1466,901)).save('/tmp/workspace/knee-ct-review/output/top.jpg',quality=90); im.crop((0,h//2,w,h)).resize((1466,901)).save('/tmp/workspace/knee-ct-review/output/bottom.jpg',quality=90)" && python -c "import easyocr; r=easyocr.Reader(['en'],gpu=False,verbose=False); print('TOP'); print('\n'.join(r.readtext('/tmp/workspace/knee-ct-review/output/top.jpg',detail=0,paragraph=True,canvas_size=1024))); print('BOTTOM'); print('\n'.join(r.readtext('/tmp/workspace/knee-ct-review/output/bottom.jpg',detail=0,paragraph=True,canvas_size=1024)))"
Upload the written CT findings and impression for explanation
Tell me whether the findings suggest a fracture or need MRI
knee trauma MRI CT
ACR Appropriateness Criteria acute trauma to the knee CT MRI fracture meniscus ligament
Does any thing look suspicious here