Shelly Fan in Singularity Hub:
Remember the last time you visited the doctor? They likely asked you about your medical history.
For many conditions, this information isn’t just relevant for diagnosis and treatment, it’s also valuable for prevention. Thanks to AI, a range of algorithms can now predict the risk of single medical conditions, such as cardiovascular disease and cancer, based on medical records.
But diseases don’t exist in a vacuum. Some conditions may increase the risk of others. A full picture of a person’s health trajectory would predict risk across a range of diseases. This could not only inform early treatment, but also surface vulnerable groups of people for screening and other preventative measures. And it could identify people at risk for a condition—say, high blood pressure or breast cancer—that don’t necessarily fit the usual criteria. Recently, a team from the German Cancer Research Center and collaborators released an AI “oracle” that predicts a person’s risk of getting over 1,000 common diseases decades in the future. Dubbed Delphi-2M, the AI is a type of large language model, like the algorithms powering popular chatbots.
More here.
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