Ideas for building
better health AI.
Research summaries, product thinking and developments at the intersection of health and artificial intelligence.
Abu Dhabi Deploys AI Assistant Across National Records
Abu Dhabi has embedded a generative AI physician assistant directly into its centralized health...
High AUC hides calibration flaws in sleep AI
A machine learning tool accurately spots cognitive risk in sleep apnea patients, but faulty...
Machine Learning Platform Optimizes Artificial MicroRNA Targeted Gene Silencing
Machine learning-guided design addresses complex sequence-structure relationships to optimize artificial microRNA efficacy and specificity...
AI Predicts Hypertensive Crises Three Days Early
Continuous biometric tracking can alert clinicians to dangerous blood pressure spikes long before patients...
AI Stratifies Tuberculosis Risk Without Costly Biomarkers
Clinicians can screen latent tuberculosis using epidemiological data instead of expensive blood work, but...
FDA Clears AI to Fix Wearable ECG Flaws
Consumer smartwatches generate millions of heart readings every day, but clinicians waste valuable hours...
CT Radiomics Classifies Vertebral Compression Fractures Accurately
A new CT-based machine learning model accurately differentiates fresh from old vertebral compression fractures,...
FDA Recalls IntelePACS Software Over Cyber Risk
A critical security flaw in widely used medical imaging software puts patient diagnostic records...
Splitting AI Knowledge and Experience Boosts TCM Prescribing
Training AI on general medical textbooks actually hurts its ability to mirror expert prescribing...
The Health AI Brief — Week of November 9, 2026
AI Predicts Diabetic Foot Ulcer Outcomes
XGBoost Predicts Depression Risk in Dialysis Patients
A new machine learning model detects elevated depressive symptoms in peritoneal dialysis patients before...
AI model predicts borderline ovarian tumor recurrence
A machine learning model predicts post-surgical tumor recurrence in young patients seeking to preserve...