Unsupervised machine learning reveals that tumor shape, not just invasion depth, dictates whether early colorectal cancer will return after endoscopic removal.
When a child faces a mental health crisis, the current system offers only two real options: months on a waiting list for basic therapy, or a chaotic, expensive trip to the emergency room.
A new machine learning model can pinpoint the origin of mysterious cancers from simple blood fragments, shifting the focus of liquid biopsies from detection to direction.
When the dominant electronic health record vendor decides to build its own clinical AI, the entire digital health startup ecosystem faces an existential threat.
A new study shows that AI foundation models can standardize cervical cancer screening across different countries, outperforming human pathologists where they struggle most.