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Extraction and classification of structured data from unstructured hepatobiliary pathology reports using large language models: a feasibility study compared with rules-based natural language processing

Authors

  • Ruben Geevarghese Division of Interventional Radiology, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA PubMed articlesGoogle scholar articles
  • Carlie Sigel Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA PubMed articlesGoogle scholar articles
  • John Cadley Artificial Intelligence & Machine Learning, Digital, Informatics and Technology Solutions (DigITs), Memorial Sloan Kettering Cancer Center, New York, New York, USA, New York, New York, USA PubMed articlesGoogle scholar articles
  • Subrata Chatterjee Artificial Intelligence & Machine Learning, Digital, Informatics and Technology Solutions (DigITs), Memorial Sloan Kettering Cancer Center, New York, New York, USA, New York, New York, USA PubMed articlesGoogle scholar articles
  • Pulkit Jain Artificial Intelligence & Machine Learning, Digital, Informatics and Technology Solutions (DigITs), Memorial Sloan Kettering Cancer Center, New York, New York, USA, New York, New York, USA PubMed articlesGoogle scholar articles
  • Alex Hollingsworth Artificial Intelligence & Machine Learning, Digital, Informatics and Technology Solutions (DigITs), Memorial Sloan Kettering Cancer Center, New York, New York, USA, New York, New York, USA PubMed articlesGoogle scholar articles
  • Avijit Chatterjee Artificial Intelligence & Machine Learning, Digital, Informatics and Technology Solutions (DigITs), Memorial Sloan Kettering Cancer Center, New York, New York, USA, New York, New York, USA PubMed articlesGoogle scholar articles
  • Nathaniel Swinburne Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA PubMed articlesGoogle scholar articles
  • Khawaja Hasan Bilal Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA PubMed articlesGoogle scholar articles
  • Brett Marinelli Division of Interventional Radiology, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Brett Marinelli; marinelb{at}mskcc.org
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Citation

Geevarghese R, Sigel C, Cadley J, et al
Extraction and classification of structured data from unstructured hepatobiliary pathology reports using large language models: a feasibility study compared with rules-based natural language processing

Publication history

  • Received May 23, 2024
  • Accepted September 5, 2024
  • First published September 20, 2024.

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