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Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71176, first published .
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Language Models for Multilabel Document Classification of Surgical Concepts in Exploratory Laparotomy Operative Notes: Algorithm Development Study

Language Models for Multilabel Document Classification of Surgical Concepts in Exploratory Laparotomy Operative Notes: Algorithm Development Study

Journals

  1. Tinajero C. The Pediatric Surgeon's AI Toolbox: How Large Language Models Like ChatGPT Are Simplifying Practice and Expanding Global Access. European Journal of Pediatric Surgery 2026;36(03):190 View
  2. Guven Z, Mendes E, Baker S. Multi-Label Text Classification Using Prompting Techniques via LLMs in Software Effort Estimation. IEEE Access 2026;14:52753 View
  3. Ando H, Matsugaki R, Yamakawa S, Ogami A. Automated Classification of Occupational Accident Texts Using Large Language Models: A Pilot Study. Occupational Health 2026;1(2):16 View
  4. Cox M, Lin E, Oleck N, Jones C, Li N, Mithani S, Allori A. Natural Language Processing for Automated Classification of Cleft and Craniofacial Procedures From Operative Notes: Model Development and Feasibility Study. JMIR Medical Informatics 2026;14:e87133 View
  5. Helder M, Olsen C, Pandeya N, Wang H, Whiteman D, Trzaskowski M, Law M, Sbaffi L. Automated identification of keratinocyte cancers in pathology reports using large language models. PLOS Digital Health 2026;5(7):e0001547 View