MACHINE LEARNING

This study will test whether a 6-week exercise program, when added to usual care, can reduce disability and pain in adults aged 60 and older with long-term low-back pain. About 314 participants will be randomly assigned to either the exercise group or usual care alone. The resear…

This study aims to create a computer model that can predict delirium in hospital intensive care unit (ICU) patients by analyzing their facial expressions and other physical signs using cameras and artificial intelligence. Delirium is a sudden state of confusion that is common in …

This study will follow 400 people receiving stem cell transplants for blood cancers to better understand why some develop serious heart problems. Researchers will use heart scans, blood tests, and other monitoring to find early warning signs. The goal is to improve follow-up care…

This study will develop a computer model that uses patient data to predict how quickly someone will regain the ability to walk independently after hip or knee replacement surgery. Researchers will analyze information from about 943 patients to train and test the model. The goal i…

This study uses machine learning to predict how well people recover after anterior cruciate ligament (ACL) reconstruction surgery. Researchers will measure muscle strength and size, along with other factors, to identify patients who may not respond well to standard rehabilitation…

This study looks at 377 adults with severe lung failure (ARDS) who are placed on their stomachs to help them breathe. Researchers will use computer models to predict which patients are most likely to die in the ICU. The goal is to help doctors make better treatment decisions for …

This study tests a computer program that uses artificial intelligence to predict how patients will respond to anesthesia during surgery. The goal is to help doctors monitor patients more accurately and prevent complications. About 115 adults having planned surgery will take part,…