MACHINE LEARNING

This study aims to create a computer program that can tell if a newborn's heart sounds are normal or abnormal using a digital stethoscope. Researchers will record heart sounds from 1,000 babies under 30 days old, some healthy and some with known heart disease, to train the progra…

This study tests whether a machine-learning model can predict serious heart events in children admitted to the hospital. The goal is to see if the model helps doctors involve the palliative care team earlier. Researchers will compare what happens before and after the model is use…

This study looks at whether machine learning (a type of artificial intelligence) can accurately predict how long spinal anesthesia lasts in people having knee replacement surgery. Researchers will use patient information like age, surgery details, and anesthesia data to train com…

This study looks at whether healthcare data and information collected remotely (like from an app) can accurately predict asthma attacks in children and young people aged 5 to 17. Researchers will monitor routine health records for all kids with asthma in the area, and a smaller g…

This study tests whether a simple brain scan (EEG) and machine learning can predict which teenagers with autism will improve from a non-invasive brain stimulation technique called tDCS. About 90 teens will receive tDCS, and researchers will compare responders and non-responders t…

This study looks at whether measuring blood flow in the gut can help predict feeding intolerance in critically ill patients. Researchers will monitor 500 adults in the ICU who need tube feeding for at least 7 days. The goal is to build a model that uses blood flow data to identif…

This study aims to develop an AI tool that can estimate a patient's total blood volume from ultrasound videos of major blood vessels. Researchers will record ultrasound clips from 800 adults scheduled for surgery and compare the AI's predictions to a reliable lab-based measuremen…

This study tests whether a machine learning model can predict which children will need a targeted medication in the next three months. The goal is to help doctors order pharmacogenetic testing beforehand, so they can choose the right drug or dose based on the child's genes. About…