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.
The Health AI Brief — Week of July 6, 2026
What the First FDA-Cleared LLM Actually Does
Young people are outsourcing therapy to algorithms
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.
AI tracks sleep disorder severity using video
A new study shows video foundation models can grade violent sleep movements, but their tendency to overestimate severity reveals the limits of clinical AI.
FDA Crackdown Hits Telehealth GLP-1 Sales
The wild west of online weight-loss drug marketing is officially coming to an end.
Physician epistemic framing alters the accuracy of large language models for medical second opinions
A doctor's self-doubt can degrade the accuracy of medical AI, proving that these systems are highly sensitive to how questions are framed.
Digital Twins Solve Rare Disease Trial Dilemma
Using virtual clones to simulate disease progression could finally solve the recruitment bottleneck that stalls rare disease drug development.
AI predicts kidney cancer immunotherapy survival rates
A new machine learning model uses basic blood markers to predict how kidney cancer patients respond to immunotherapy.