MACHINE LEARNING

This study is developing a computer program that can analyze heart sounds recorded with a digital stethoscope to tell if a newborn's heart is healthy or not. Researchers will record heart sounds from 1,000 babies under 30 days old and use those recordings to train and test the pr…

This study tests whether a machine learning model can predict which children in the hospital will need a medication that requires a genetic test. The goal is to see if the model helps doctors order the test before giving the drug, so they can choose the right dose or a safer alte…

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 enrolls 300 adults with allergic bronchopulmonary aspergillosis (ABPA) to develop a machine learning model that predicts the risk of relapse within one year. Researchers will analyze patient data and biological markers to create a tool that helps doctors identify high-…

This study tests whether a new system that combines healthcare data with information collected remotely (like from a smartphone app) can accurately predict asthma attacks in children and young people aged 5 to 17. The goal is to see if using this system reduces the number of asth…

This study aims to find out if brain activity measured by EEG and other clinical data can predict which teenagers with autism will improve after a non-invasive brain stimulation treatment called tDCS. Researchers will treat 90 adolescents with autism and track changes in social a…

This study aims to create a computer model that can predict how soon patients will walk on their own after hip or knee replacement surgery. Researchers will collect data from about 943 patients who had surgery and physical therapy. The goal is to help doctors plan better care, bu…

This study tests whether a machine-learning model can predict serious heart events in children admitted to the hospital. The model alerts doctors each morning about high-risk patients, so they can decide if a palliative care team should be involved. Researchers will compare what …

This study aims to develop a new, non-invasive way to estimate a patient's blood volume before surgery using ultrasound videos and artificial intelligence. Researchers will record ultrasound clips of major blood vessels from 800 adult patients and use a deep learning model to pre…

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…