Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research. Both ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
In an overcrowded, standing-room-only room on the 32nd floor of the Westin St. | SAN FRANCISCO—Advances in agentic AI will ...
IEEE Spectrum on MSN
Machine learning system monitors patient pain during surgery
To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...
Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...
News-Medical.Net on MSN
AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Researchers say the innovation, known as SmartEM, will speed scanning sevenfold and open the field of connectomics to a ...
Tech Xplore on MSN
Patient privacy in the age of clinical AI: Scientists investigate memorization risk
What is patient privacy for? The Hippocratic Oath, thought to be one of the earliest and most widely known medical ethics ...
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