
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.
Discover the newest research about AI innovations in 🤖 Machine Learning.

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.

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

Generative AI just bypassed decades of traditional chemistry to design a viable antibiotic from scratch, but the real test lies in the clinical pipeline.

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.

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.

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.

A new AI model can detect lethal pancreatic tumors up to three years before they show up on standard medical scans.

A new reanalysis reveals that highly praised machine learning survival models underperform both human doctors and a thirty-year-old statistical formula at predicting patient death at critical clinical milestones.