AI finds protein markers for rare cervical cancer
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.
AI Documentation Moves to the Nursing Bedside
While doctors usually dominate the healthcare AI conversation, the real battle against clinical burnout is being won at the nursing bedside.
AI predicts breast cancer risk from ultrasound images
A new deep learning model outperforms traditional risk scores by extracting hidden risk signals directly from routine screening ultrasound images.
Mirror-image proteins could end drug injections
By rebuilding proteins backward, drug developers are trying to bypass the human digestive system's natural defenses.
AI automates complex heart ultrasound measurements
A new open-source AI model successfully automates the tedious manual tracking of heart chambers and blood flow velocity, moving cardiac imaging past simple ventricular checks.
FDA Draws a Line on AI Compliance
Delegating your regulatory compliance to an AI agent does not delegate your legal liability.
New AI Suite Predicts ICU Mortality Reliably
Most clinical AI models fail when they leave their home hospital, but a new 26-model suite proves that reproducible clinical tools can survive the transition to different healthcare systems.
AI Matches Endocrinologists in Insulin Dosing
Algorithms can now recommend insulin doses as safely as human specialists, shifting the bottleneck of diabetes care from clinical expertise to patient trust.
Smartphones and LLMs Detect Huntington’s Disease
By feeding raw smartphone eye-tracking data into off-the-shelf language models, researchers bypassed the need for custom medical AI to spot Huntington’s disease.
FDA backs generative AI for radiology reports
Regulators are clearing the path for AI that writes its own clinical notes, shifting the technology from a simple second pair of eyes to an active administrative partner.