MACHINE LEARNING

This study tests whether a 6-week exercise program, added to usual pain medication, can reduce disability and pain in adults aged 60 and older with long-term low-back pain and signs of back muscle decline. About 314 participants will be randomly assigned to either the exercise gr…

This study uses machine learning to predict how well people recover after ACL surgery. Researchers will combine muscle strength and size measurements to identify patients who may not respond well to standard rehab. About 182 participants will be followed for one year after surger…

This study will follow 400 people receiving a stem cell transplant for blood cancers to learn why some develop serious heart problems like heart attacks, irregular heartbeat, or heart failure. Researchers will use heart scans, EKGs, and blood tests to find early warning signs. Th…

This study will test a computer program that uses artificial intelligence to predict how patients will respond during general anesthesia. The goal is to help doctors monitor patients more proactively, rather than just reacting to changes. About 115 adults having planned surgery w…

This study looks at 377 adults with severe lung failure (ARDS) who received a treatment called prone positioning (lying on the belly to help breathing). Researchers will use computer models to find patterns in patient data that can predict who is at highest risk of dying in the I…

This observational study aims to develop a computer model that can predict how quickly patients regain the ability to walk independently after hip or knee replacement surgery. Researchers will collect data from about 943 patients who had surgery between 2020 and 2027. The goal is…

This study aims to create a computer program that can predict delirium in ICU patients by analyzing their facial expressions and other biological features. Delirium is a sudden confusion that often goes undiagnosed. The researchers will enroll about 795 adults in the ICU and use …