To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Please provide your email address to receive an email when new articles are posted on . A machine learning model may identify patients’ risk for persistent opioid use after hand surgery. Machine ...
Michigan Genomics Initiative model has high AUCs for identifying persistent opioid use using hand surgery data, full cohort of surgery patients. HealthDay News — Machine learning can identify patients ...
Arthrolense™, a medical technology company pioneering a machine vision and machine learning-based surgical guidance in orthopedics, announced a new strategic partnership with Waldemar Link GmbH & Co.
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
Researchers at Duke University combined Dynamic Optical Contrast Imaging (DOCI) with AI to improve thyroid cancer detection ...
The digital surgery technologies market is currently experiencing rapid, double-digit growth fueled by the integration of ...