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PREDICTING PANCREATIC DUCTAL ADENOCARCINOMA (PDAC) THROUGH ARTIFICIAL INTELLIGENCE ANALYSIS OF PRE-DIAGNOSTIC CT IMAGES - THE OBJECTIVE OF THE PROPOSED PROJECT IS TO DEVELOP A PANCREATIC DUCTAL ADENOCARCINOMA (PDAC) PRED

USAspending · observation · Publication date unknown

PREDICTING PANCREATIC DUCTAL ADENOCARCINOMA (PDAC) THROUGH ARTIFICIAL INTELLIGENCE ANALYSIS OF PRE-DIAGNOSTIC CT IMAGES - THE OBJECTIVE OF THE PROPOSED PROJECT IS TO DEVELOP A PANCREATIC DUCTAL ADENOCARCINOMA (PDAC) PREDICTION MODEL TO IDENTIFY INDIVIDUALS WHO HAVE HIGH RISK FOR PDAC IN THE NEXT 3 YEARS THROUGH ARTIFICIAL INTELLIGENCE (AI) ANALYSIS OF PRE-DIAGNOSTIC CT IMAGES AND NON-IMAGING FACTORS. PDAC IS THE FOURTH LEADING CAUSE OF CANCER- RELATED DEATHS IN BOTH MEN AND WOMEN IN THE UNITED STATES DESPITE ITS LOW INCIDENCE RATE. THE 5-YEAR SURVIVAL RATE FOR ALL STAGES OF PDAC IS 10% BUT CAN

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recordType

award

region

US

value

4827743

unit

USD