That would require an "abnormality determination " approach, which so far did not demonstrate enough success in pathology, so currently, it's one entity or several entities at a time. I am waiting for a working abnormality determination solution for pathology. That will really increase efficiency.
The real utility of AI is reliably filtering out negative /uninteresting slides and let pathologsts concentrate on useful slides and gain productivity
That would require an "abnormality determination " approach, which so far did not demonstrate enough success in pathology, so currently, it's one entity or several entities at a time. I am waiting for a working abnormality determination solution for pathology. That will really increase efficiency.
@@aleksandrazurawpathology of course! But if you choose the right body part with the right model, it would work
Predicting molecular statute is very random through histology alone. We must check papers raw data rather than statistics.
Or validate the results with a standard of care test, like in the cited paper. I agree, I would blindly trust this kind of predictions.
@@aleksandrazurawpathology thus I doubt the real role of Pathologist in routine workflow...