MACHINE LEARNING

This study compares an artificial intelligence (AI) system called AEYE to a human eye specialist in diagnosing keratoconus (a condition that thins the cornea) and deciding if someone is a good candidate for laser eye surgery. Researchers will use 50 real patient cases to see if t…

This study looks at why some parents of children aged 0 to 48 months are hesitant about vaccines. Researchers will use machine learning to find patterns in survey answers from 600 parents. The goal is to create a tool that can predict vaccine refusal, helping public health offici…

This study looks at whether a computer program (machine learning) can help predict if liver cancer will spread to the lungs or bones. Over 1,500 adults with liver cancer but no signs of spread at the start were followed during their regular care. The goal is to see if the tool's …

This study aims to create a computer model that uses patient data and MRI scans to predict whether rectal cancer will be completely eliminated after chemotherapy and radiation. Researchers will study 320 patients who have already completed treatment and surgery. The goal is to he…

This study aims to create a new way to diagnose interstitial lung disease (ILD) in people with dermatomyositis, a rare muscle condition. Researchers will use special PET/CT scans and machine learning to find patterns that predict ILD. The study involves 200 adults and compares th…