FDA Clears AI Upgrade for Philips Ultrasounds
Automating routine measurements could finally solve the crippling bottleneck in diagnostic imaging.
AI predicts liver cancer blood vessel invasion
A new machine learning model predicts microvascular invasion in liver cancer patients before surgery, but its dropping accuracy in external hospitals reveals the persistent challenge of clinical AI translation.
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.