Discover the newest research about AI innovations in Research.
A new foundation model shows that overnight pulse oximetry data contains deep physiological signatures that can predict future hypertension and next-day blood sugar levels.
Predictive algorithms are moving from administrative tools to clinical safety nets, flagging developmental risks before symptoms disrupt a child’s life.
Automated medical registries promise to slash administrative burdens, but a new trial reveals that large language models are not yet reliable enough to replace human chart reviewers.
The regulatory approval of a non-invasive brain stimulation headset for PTSD exposes a massive, decades-long stagnation in psychiatric drug development.
A new study reveals that simply telling an AI to act like an insurance company causes it to reject treatments that human doctors deem necessary.
A bipartisan backlash against automated healthcare decisions is forcing a critical reckoning over who controls medical approvals.
A new algorithm spots which diabetic patients will crash after surgery, shifting the focus from reactive emergency care to proactive recovery.
A massive $65 billion funding round positions Anthropic to dominate clinical AI, but the real test is whether hospitals will trust its models with patient lives.
Standard automated ECG software often misses critical cardiac warning signs, but a new deep learning model trained on UK Biobank data proves we can do much better.
An AI giant is moving from writing software code to designing biological molecules, raising both commercial hopes and biosecurity alarms.
