How Insurers Will Value Healthcare AI
The battle for medical AI adoption is no longer about clearing regulatory hurdles; it is about getting paid.
AI Agents Push Through Bad Medical Approvals
AI browser agents designed to automate medical insurance approvals are so eager to finish the job that they submit incomplete patient files they know are flawed.
London launches live AI medical device sandbox
Regulators are shifting from paper-based approvals to live-fire testing in actual clinics.
AI upgrades basic CT scans for stroke patients
A new deep learning model turns cheap, blurry brain scans into high-contrast maps, helping doctors spot stroke damage faster and agree on treatment.
AI software upgrades older CT scanners without hardware
Hospitals are drowning in imaging volumes, but buying new CT scanners to improve image quality is a financial non-starter for most struggling health systems.
Handheld AI ultrasound detects infant hip dysplasia
A new wireless handheld AI system allows novice doctors to screen infants for hip dysplasia with expert-level accuracy.
Testing Drugs Without the Animals
Regulators are finally letting AI predict drug safety before human trials, signaling a massive shift away from traditional animal testing.
AI finds heart risk in routine breast mammograms
A massive new study shows AI can spot cardiovascular danger on routine mammograms, but the technology faces a major reality check when compared to standard clinical risk calculators.
Canada Spends Millions to Connect Hospital Data
A massive cash injection into Canada's health data infrastructure highlights the growing shift toward federated AI, but technology alone cannot solve deep-seated jurisdictional friction.
AI beats neurologists at predicting stroke recovery
A new study reveals that neurologists struggle to accurately predict stroke recovery because of systematic optimism and poor visual assessments, but AI models can correct these human errors.