
AI Spots Brain Tumor Risks From Routine Slides
High-tech cancer diagnostics are currently a luxury of the wealthiest health systems, but a shift in how we analyze basic tissue slides could soon level the playing field.
Discover the newest research about AI innovations in Research.

High-tech cancer diagnostics are currently a luxury of the wealthiest health systems, but a shift in how we analyze basic tissue slides could soon level the playing field.

A new language model attempts to solve a major diagnostic bias by separating normal hormonal transitions from actual viral damage in women.

A new wave of AI models is finding invisible patterns in routine heart tests to predict sudden cardiac arrest before it strikes.

A new machine learning model proves that tracking silent organ damage is far more predictive of survival than standard blood pressure readings.

A life-sciences giant just bought its way from the laboratory bench directly to the hospital bedside.

A new algorithm can spot hyperacute stroke tissue changes on cheap, standard CT scans, but it struggles to map the exact boundaries of smaller lesions.

A new partnership between a smart ring maker and a pharmaceutical giant reveals how drugmakers are using consumer hardware to keep patients compliant.

Hiring a commercial AI to read breast cancer biopsies does not just introduce errors; it forces clinicians to choose which specific flavor of diagnostic failure they can tolerate.

A massive new funding round proves that health systems are ready to delegate daily clinical tasks to supervised AI agents.

Automated translation of complex radiology scans can finally bypass the medical jargon barrier, but only if radiologists remain the ultimate gatekeepers.