AI identifies superbugs using standard mass spectrometry
A new deep learning model bypasses slow genetic sequencing to identify dangerous bacterial strains in minutes, but instrument variation stands in the way of global deployment.
The hidden ingredients in medical artificial intelligence
Healthcare providers are deploying algorithms without knowing what data trained them, creating a massive regulatory and clinical liability.
AI predicts future lab results from patient records
A new transformer model can simulate how a patient's lab values will react to specific drugs before they are even prescribed.
Medicare AI Payments Risk Driving Costly Overuse
Medicare's plan to pay hospitals for using AI tools risks creating a financial incentive to overdiagnose patients.
AI insulin resistance index predicts heart disease risk
A new deep learning index predicts cardiovascular death by tracking insulin resistance in the general public, moving metabolic screening beyond diabetic patients.
Turning Bedside Chats Into Patient Task Lists
Ambient AI is moving past physician burnout to tackle the chaotic reality of patient discharge.
AI Outperforms Pathologists in Ordering Lymphoma Tests
A new AI system can predict lymphoma subtypes and order diagnostic tests directly from initial biopsy scans, cutting down the days patients spend waiting for a diagnosis.
Oracle Puts OpenAI in Patient Portals
Giving patients direct access to AI-translated medical records is a bold play to win the EHR wars, but it shifts a massive cognitive burden from doctors to software.