An AI Tool Is Trying to Predict Your Risk of Getting Many Diseases Years in Advance – Here’s How It Works.
By Natalia Levina, João Sedoc, and Hila Lifshitz-Assaf
Being able to instantly and accurately predict the trajectory of a person’s health in the years to come has long been seen as the pinnacle of medicine. This kind of information would have a profound effect on healthcare systems as a whole – shifting care from treatment to prevention.
According to the findings of a recently published paper, researchers are promising just that. Using cutting-edge artificial intelligence (AI) technology, the researchers built Delphi-2M. This tool is seeking to predict a person’s next health event and when it’s likely to happen in the next 20 years. The model does this for a thousand different diseases including cancer, diabetes and heart disease.
To develop Delphi-2M, the European research team used data from nearly 403,000 people from the UK Biobank as an input into the AI model.
Read the full The Conversation article.
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Natalia Levina is Paganelli-Bull Professor of Technology & International Business and the Ph.D. Program Coordinator for Information Systems at NYU Stern. João Sedoc is Assistant Professor of Technology, Operations, and Statistics at NYU Stern.