Study: AI can predict pancreatic cancer three years ahead of human doctors
The most effective model, based on a transformer-based architecture, showed that out of the top 1,000 highest-risk patients over 50, about 320 would go on to develop pancreatic cancer. The model is less accurate when trying to predict pancreatic cancer over longer time intervals compared to shorter ones, and for patients younger than 50.
Effective prediction in real-world settings will rely on the quality of patients' medical histories. Future AI-based screening tools for pancreatic cancer will have to be trained on specific local population data, the study found. A model trained on data from Danish patients, for example, was not as accurate when applied to US patients.
The study is still in its early stages, and the software cannot yet be used to run screening programs. Improvements are needed before even a trial can be conducted.
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