
AI chest scans predict death risk using body fat
A new artificial intelligence index uses routine heart scans to calculate mortality risk, proving that how we store fat and muscle matters far more than simple body weight.
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A new artificial intelligence index uses routine heart scans to calculate mortality risk, proving that how we store fat and muscle matters far more than simple body weight.

Healthcare cybersecurity is no longer about patching software; it is about surviving automated, AI-driven attacks.

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.

Healthcare providers are deploying algorithms without knowing what data trained them, creating a massive regulatory and clinical liability.

A new transformer model can simulate how a patient’s lab values will react to specific drugs before they are even prescribed.

Medicare’s plan to pay hospitals for using AI tools risks creating a financial incentive to overdiagnose patients.

A new deep learning index predicts cardiovascular death by tracking insulin resistance in the general public, moving metabolic screening beyond diabetic patients.

Ambient AI is moving past physician burnout to tackle the chaotic reality of patient discharge.

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.

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.