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.
AI matches doctors in nuclear medicine queries
A new study reveals that while AI can draft highly informative medical answers, patients still prefer the simpler, clearer touch of a human clinician.
FDA Accepts AI Model for Liver Toxicity
The regulatory bottleneck for AI in drug development is finally beginning to crack.
Silent Manipulation of Mental Health Treatment Recommendations from a Large Language Model
A new study reveals how bad actors can quietly steer an AI's medical advice without changing its code or prompts.
AI designs new antibiotic for drug-resistant infections
Generative AI just bypassed decades of traditional chemistry to design a viable antibiotic from scratch, but the real test lies in the clinical pipeline.
Wearable ECG AI fails older patients
Smartwatches and rings are marketed as lifesaving heart monitors, but new data shows their single-lead AI systems fail the very patients who need them most.
Hackers steal recipes for blockbuster weight-loss drugs
A massive data breach at Novo Nordisk reveals that the real value of modern pharma is no longer just the chemical formula, but the digital infrastructure behind it.
AI detects autoimmune hepatitis from liver slides
A new deep-learning model diagnoses autoimmune hepatitis with expert-level accuracy in some scenarios, but its failure against hepatitis B reveals a critical diagnostic blind spot.
AI spots pancreatic cancer years before doctors
A new AI model can detect lethal pancreatic tumors up to three years before they show up on standard medical scans.