Discover the newest research about AI innovations in Research.
A new machine learning model can help hospitals predict which heart surgery patients will get stuck in the ICU, but its performance drop in external testing highlights a persistent hurdle for clinical AI.
Surgeons spend hours documenting procedures, yet manual reports omit up to seventy percent of critical clinical information.
A new AI model predicts immunotherapy success across different cancers by translating complex genetic data into clear biological concepts.
A newly validated artificial intelligence model is challenging the expensive, slow-moving monopoly of genomic sequencing in breast cancer care.
A new study reveals that even the smartest medical AI models cannot accurately judge when they are wrong.
A patient’s survival in the ICU may depend on how quickly clinicians can spot silent, ongoing seizures in the brain.
An autonomous AI agent just built a medical imaging tool that outperformed human-engineered models, proving that clinical-grade machine learning no longer requires a team of coders.
A delayed regulatory nod puts Boston Scientific’s multi-billion-dollar bet to the test.
A new AI tool bypasses the limits of scarce patient data to identify a two-protein signature that accurately flags a deadly, non-HPV cervical cancer.
While doctors usually dominate the healthcare AI conversation, the real battle against clinical burnout is being won at the nursing bedside.
