
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.
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A new deep learning model turns cheap, blurry brain scans into high-contrast maps, helping doctors spot stroke damage faster and agree on treatment.

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.

A new wireless handheld AI system allows novice doctors to screen infants for hip dysplasia with expert-level accuracy.

Regulators are finally letting AI predict drug safety before human trials, signaling a massive shift away from traditional animal testing.

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.

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.

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.

A new study reveals that while AI can draft highly informative medical answers, patients still prefer the simpler, clearer touch of a human clinician.

The regulatory bottleneck for AI in drug development is finally beginning to crack.

A new study reveals how bad actors can quietly steer an AI’s medical advice without changing its code or prompts.