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Artificial Intelligence Improves Prediction of Pancreatic Cancer

FRIDAY, May 12, 2023 (HealthDay News) Artificial intelligence (AI) can improve the design of surveillance programs for pancreatic cancer, according to a study published online May 8 in Nature Medicine. Davide Placido, from the University of Copenhagen in Denmark, and colleagues applied AI methods to clinical data from 6 million patients (24,000 cases of

New Harvard-Developed AI Predicts Future Pancreatic Cancer Up to Three Years Before Diagnosis

The AI model can identify individuals with the highest risk of pancreatic cancer up to three years prior to their formal diagnosis. A new study, led by researchers from Harvard Medical School, the University of Copenhagen, VA Boston Healthcare System, Dana-Farber Cancer Institute, and the Harvard T

AI predicts future pancreatic cancer

An AI tool identified people at the highest risk for pancreatic cancer up to three years before actual diagnosis. The findings point to the promise of AI for mass screening to help expedite the diagnosis of an aggressive disease often identified with serious delays. Pancreatic cancer is one of the deadliest cancers in the world and its toll is projected to increase.

Pancreatic Cancer Risk Detected by AI-Based Model

An artificial intelligence (AI) model programmed using sequential health data extracted from electronic health records detected a subset of persons with a 25-fold danger of developing pancreatic cancer between 3 and 36 months, according to findings showcased at the 2022 Annual Meeting of the American Association for Cancer Research (AACR) that was held from April 8th to 13th.

AI model uses electronic health records to identify people at high risk for pancreatic cancer

An artificial intelligence (AI) model trained using sequential health information derived from electronic health records identified a subset of individuals with a 25-fold risk of developing pancreatic cancer within three to 36 months, according to results presented at the AACR Annual Meeting 2022, held April 8-13.

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