3 ms·
From radiologist AI training datasets, evaluated long-term/post-mortem.
by storus 7mo ago
From radiologist AI training datasets, evaluated long-term/post-mortem.
- Forgeties79 7mo agoI hate to be “source?” about it but your numbers are so far off what every search result is showing.
- storus 7mo agoI am not saying those are for all diagnoses, but for some tricky yet important ones (i.e. detecting them early might save your life).
- Forgeties79 7mo agoYou did not give specificity of any kind until now, and now I’m even more curious where these numbers are coming from.
- storus 7mo agoSome data (average radiologist score): Early-Stage Lung Cancer (via Chest X-ray) 33.3% Clinical Staging of Stage I Pancreatic Cancer (via CT, MRI, EUS) 21.6% Breast Cancer (via Mammography in Dense Tissue) 30% Cuneiform fractures (foot, X-Ray) 0% Midfoot fractures (general, X-Ray) 12.5% Cuboid fractures (X-Ray) 14.29% Navicular fractures (X-Ray) 22.22% Talus fractures (X-Ray) 21.43% Individual radiologists often scored 5% in those as well. The skill distribution is brutal.
- Forgeties79 7mo agoIf your original argument was “it could be useful for more difficult/niche observations” then I think most of us wouldn’t have objected. I also really don’t understand why you still aren’t sharing any links. Is this all LLM-generated without citations or something? Where are you getting your numbers?
- nchmy 7mo agoSauce or gtfo