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Large Language Models for Automated Synoptic Reports and Resectability Categorization in Pancreatic Cancer

Rajesh Bhayana, Bipin Nanda, Taher Dehkharghanian, Yangqing Deng, Nishaant Bhambra, Gavin J.B. Elias, Daksh Datta, Avinash Kambadakone, Chaya Shwaartz, Carol‐Anne Moulton, David Henault, Steven Gallinger, Satheesh Krishna

2024Radiology75 citationsDOI

Abstract

GPT-4 enabled near-perfect creation of pancreatic ductal adenocarcinoma synoptic reports from original reports and accurate resectability categorization using chain-of-thought prompting, which improved surgeon accuracy and efficiency in interpreting reports for resectability categorization.

Topics & Concepts

MedicineCategorizationCancerRadiologyPancreatic cancerNatural language processingMedical physicsArtificial intelligenceOncologyGeneral surgeryInternal medicineComputer scienceRadiology practices and educationAI in cancer detectionArtificial Intelligence in Healthcare and Education
Large Language Models for Automated Synoptic Reports and Resectability Categorization in Pancreatic Cancer | Litcius