Wearables and AI predict knee osteoarthritis pain
A new machine learning model proves that how we walk, rather than how much we walk, reveals the true severity of arthritic joint pain.
The Danger of Unstructured Healthcare Data
A massive data breach exposing 3.8 million patient records exposes the severe vulnerability of backend healthcare vendors.
AI predicts patient paths after emergency room discharge
A new generative model beats traditional machine learning at predicting which discharged emergency patients will return to the hospital.
Dental data is the new security nightmare
A massive breach exposing millions of dental records proves that niche health administrators are now the primary targets for cybercriminals.
New Heart Guidelines Fail to Clarify Mid-Risk PE
A massive multi-center study reveals that the new 2026 AHA/ACC pulmonary embolism framework adds clinical complexity without improving risk prediction for the vast majority of patients.
Nurses Fight to Stop AI Replacing Human Care
Hospital administrators are treating clinical artificial intelligence as a cost-saving cure, but the frontline workforce sees a direct threat to patient safety.
AI Triages Rheumatology Referrals as Well as Doctors
A new study shows that smart prompting makes cheap, small AI models triage patients just as safely as expensive ones.
The Surgery AI Report — August 2026
Artificial intelligence-supported segmentation of cardiac anatomy in open-heart surgery videos
Medicare Closes One Regulatory Gap But Opens Another
The federal government's new plan to rescue medical devices from regulatory limbo comes with a hidden catch that could leave many innovators behind.
How FHIR data format changes AI clinical quality
Feeding raw medical data directly into clinical AI models might be degrading their performance without anyone noticing.