Machine learning

This study tests an artificial intelligence (AI) tool that estimates a baby's weight from ultrasound videos. Researchers will compare the AI's estimates to standard measurements and the actual birth weight. The goal is to see if the AI tool is accurate enough to help doctors, esp…

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 non-invasive brain stimulation technique called tDCS can improve social communication and reduce repetitive behaviors in adolescents with autism. Researchers will use machine learning to analyze brain activity (EEG) and clinical data to predict who will…

This study develops a machine learning model to predict the risk of acute exacerbation within one year in patients with allergic bronchopulmonary aspergillosis (ABPA), a lung condition caused by allergic reactions to Aspergillus fungus. Researchers will analyze data from 200 stab…

This study is developing a machine learning model to predict the risk of relapse within one year for people with allergic bronchopulmonary aspergillosis (ABPA), a lung condition caused by an allergic reaction to a fungus. Researchers will collect data from 300 patients across mul…

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 looks at whether measuring blood flow in the stomach and intestines can help predict feeding intolerance in critically ill patients. Researchers will monitor 500 ICU patients receiving tube feeding and track symptoms like vomiting, bloating, or diarrhea. The goal is to…

This study will enroll 900 children aged 5-17 with asthma to see if remote monitoring—using routine health data and a smartphone app—can predict asthma attacks. Researchers will track whether this system reduces the number of attacks compared to past averages. A subset of high-ri…

This study aims to develop an AI model that estimates a patient's blood volume from ultrasound videos of major blood vessels. Researchers will record ultrasound clips from 800 adults scheduled for surgery and compare them to a reliable blood volume measurement. The goal is to cre…