MACHINE LEARNING

This study compares an AI system called AEYE to a human eye specialist in diagnosing keratoconus (a thinning of the cornea) and deciding if someone is a good candidate for laser eye surgery. Researchers will use 50 real patient cases to see if the AI can match the doctor's accura…

This study involves 320 adults with advanced rectal cancer who received standard chemoradiotherapy and surgery. Researchers are building a computer model that uses MRI scans and patient data to predict whether the cancer has completely disappeared after treatment. The goal is to …

This study looks at whether a computer model can help predict if liver cancer will spread to the lungs or bones in over 1,500 adults. The model uses patient data to sort people into risk levels, but doctors still make all treatment decisions. The goal is to see if this tool works…

This study looks at why some parents of children aged 0-48 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 predicts vaccine refusal, helping health officials better su…

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 PET/CT scans and machine learning to build a model that predicts ILD. The study involves 200 participants and does not tes…