The Hidden HIPAA Risks of AI PCs
Healthcare IT departments are rushing to deploy AI PCs, but they are unknowingly creating decentralized data traps for protected health information.
Beyond Padua and IMPROVE: Machine Learning Outperforms Guideline Risk Scores for Prediction of Radiologically Confirmed Hospital-Acquired Venous Thromboembolism
New data shows machine learning crushes traditional clinical guidelines for predicting hospital-acquired blood clots, questioning our reliance on manual checklists.
Who Pockets the AI Productivity Dividend?
As artificial intelligence slashes administrative burdens for doctors, a quiet battle is brewing over who actually owns the financial upside of this new efficiency.
Cheap AI plugin detects leukemia on standard microscopes
A new hardware plugin bypasses expensive digital scanners to bring automated leukemia screening to basic laboratory microscopes.
Fax machines still rule clinical data sharing
Healthcare's persistent reliance on the fax machine is finally facing a coordinated digital assault, but the real battle is about network scale rather than technology.
AI changes the meaning of brain signals
Using large language models to clean up brain-computer interface outputs introduces a dangerous new failure mode: fluent, highly confident lies that alter what paralyzed patients are actually trying to say.
Venture Capital Bets on Open Source Medical Data
A fresh $26 million injection into medical data infrastructure proves that the biggest bottleneck in digital health is no longer collecting patient data, but making sense of its chaos.
AI fails to predict pancreatic cancer drug choice
A highly anticipated multimodal AI outperformed other biomarkers at staging pancreatic cancer risk, yet it failed its primary test of matching the right drug to the right patient.
Federal scientists adopt AI research co-pilots
Federal medical researchers are turning to artificial intelligence to survive an unprecedented deluge of scientific literature.
AI measures brain scars on cheap portable MRI
Low-cost portable MRI scanners can track multiple sclerosis progression, but only if we stop relying on algorithms built for high-end hospital machines.