AI can predict Parkinson’s subtype with up to 95% accuracy, study suggests

"The hope is that one day this could lead to fundamental changes in how we deliver personalised medicine"

Scientists have created an AI tool to shed light on different types of Parkinson’s disease (Jonathan Brady/PA)

Scientists have developed an artificial intelligence (AI) tool that can classify four subtypes of Parkinson’s disease with up to 95% accuracy.

Researchers from the Francis Crick Institute and the UCL Queen Square Institute of Neurology in London “trained” a computer program to recognise the subtypes of the condition using images of stem cells from patients.