AI reads rapid tests using synthetic images
Training diagnostic AI no longer requires massive, expensive libraries of real patient photos.
Non-invasive tests target endometriosis delay
A decade of silent suffering for endometriosis patients might finally be cut short by a shift toward non-invasive diagnostics.
Wrist trackers predict Parkinson’s disease years early
A new analysis of wearable data shows that tracking how we move during sleep can flag Parkinson's risk a decade before clinical symptoms appear.
The Oncology AI Report — July 2026
Predicting response to neoadjuvant therapy using artificial intelligence on digitized histopathology slides: a systematic review
FDA Cuts Red Tape for Health Wearables
The federal government is loosening its grip on low-risk digital health tools, but developers who mismanage their marketing claims will still face regulatory crackdowns.
AI Predicts Bone Surgery Infection Risk Unevenly
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.
FDA clears self-updating radiation planning software
A new regulatory shortcut could quietly solve the worst bottleneck in cancer treatment.
AI improves heart calcium scoring on basic scans
A new machine learning method extracts high-quality heart disease risk data from low-dose scans that doctors usually ignore for calcium scoring.
AI Outperforms Doctors on Cancer Reports
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.
Algorithms sort Parkinson’s from lookalike brain diseases
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.