MACHINE LEARNING

This study tested whether a machine learning model called XGBoost could predict pancreatic tumors in 113 people with chronic pancreatitis who had suspicious spots on CT scans. The goal was to improve early detection of cancer in this high-risk group. Researchers used patient data…

This study looked at over 1000 liver cancer patients who had surgery to see if a computer model could predict who would benefit from additional chemotherapy directly into the liver (TACE). The goal was to help doctors decide which patients should get the extra treatment and which…

This study tested whether a computer model could predict kidney damage from platinum-based chemotherapy more accurately than doctors. Researchers collected data from 77 cancer patients in Taiwan and tracked their kidney function after treatment. The goal was to see if machine lea…

This study tested whether an artificial intelligence (AI) algorithm could accurately diagnose multiple neuro-ophthalmologic and neurologic conditions—such as optic nerve diseases and brain tumors—from standard retinal images. Researchers analyzed data from 693 patients with confi…

This study tested whether a computer system using cameras and machine learning could predict fall risk in adults. 177 people who could walk with or without help had their walking recorded by a camera and a phone accelerometer. The system analyzed their gait and combined it with a…