Discover the newest research about AI innovations in Research.
A new machine learning model can pinpoint which ankle fracture patients are highly likely to develop surgical infections, but its tendency to miss the majority of at-risk cases makes it a dangerous tool if used as a standalone safety net.
A new regulatory shortcut could quietly solve the worst bottleneck in cancer treatment.
A new machine learning method extracts high-quality heart disease risk data from low-dose scans that doctors usually ignore for calcium scoring.
When algorithms read pathology reports better than the oncologists who ordered them, the bottleneck in cancer care shifts from diagnostic accuracy to human administrative capacity.
A new machine learning approach shows that while AI can easily spot the difference between Parkinson’s and its deadlier lookalikes, pinpointing the exact disease remains incredibly difficult.
When vulnerable teenagers turn to artificial intelligence for mental health advice, they are not finding a cure—they are finding a mirror that tells them what they want to hear.
A new study shows video foundation models can grade violent sleep movements, but their tendency to overestimate severity reveals the limits of clinical AI.
The wild west of online weight-loss drug marketing is officially coming to an end.
A doctor’s self-doubt can degrade the accuracy of medical AI, proving that these systems are highly sensitive to how questions are framed.
Using virtual clones to simulate disease progression could finally solve the recruitment bottleneck that stalls rare disease drug development.
