Pathology Made Simple: ChatGPT's Summarization of Pathology Reports.
Context.--Pathology reports are essential for guiding clinical decisions but are often complex and lengthy. Artificial intelligence tools like ChatGPT may offer a way to distill these reports into clear, concise summaries to improve communication and efficiency in clinical settings. Objective.--To e...
| Publicado en: | Archives of Pathology & Laboratory Medicine Vol. 150; no. 3; pp. 250 - 253 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
College of American Pathologists
Mar2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=192327260&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192327260 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00039985 1FS jtl: Archives of Pathology & Laboratory Medicine issn: 00039985 maglogo: N pubinfo: dt: Mar2026 vid: 150 iid: 3 pid: 2550 pub: College of American Pathologists place: Northfield, Illinois artinfo: ui: 192327260 192327260 192327260 10.5858/arpa.2025-0072-OA 192327260 ppf: 250 ppct: 3 formats: fmt: @attributes: type: P tig: atl: Pathology Made Simple: ChatGPT's Summarization of Pathology Reports. aug: au: Shasha, Gali Zabarsky Balint-Lahat, Nora Schiby, Ginette Debby, Assaf Barshack, Iris Mayer, Chen affil: Institute of Pathology, Sheba Medical Center, Ramat Gan, Israel sug: subj: Artificial Intelligence, Generative Reports Documentation Diagnosis, Laboratory Clinical Information Systems Human Access to Information Retrospective Design Breast Neoplasms Lymphoma Decision Making, Clinical Workflow Israel ab: Context.--Pathology reports are essential for guiding clinical decisions but are often complex and lengthy. Artificial intelligence tools like ChatGPT may offer a way to distill these reports into clear, concise summaries to improve communication and efficiency in clinical settings. Objective.--To evaluate the performance of ChatGPT-4o in summarizing detailed pathology reports into 1-sentence diagnoses that retain critical clinical information and are accessible to medical professionals. Design.--We retrospectively analyzed 120 anonymized pathology reports from 2022-2023, focusing on 40 complex cases from 3 subspecialties: breast pathology, melanocytic lesions, and lymphomas. Using a standardized brief prompt, ChatGPT-4o generated 1-sentence summaries for each report. Two independent pathologists assessed each summary for inclusion of essential information, exclusion of irrelevant details, presence of critical errors, and overall readability. Results.--The mean scores for inclusion of essential information were 8.09 (melanocytic lesions), 8.15 (breast cancers), and 9.55 (lymphomas). Critical error-free rates were 62.5%, 77.5%, and 95%, respectively. Exclusion of nonessential information scored consistently high across subspecialties, and readability was rated 10/10 in 119 of 120 cases. Conclusions.--ChatGPT-4o, when used with a standardized prompt and expert oversight, shows promising ability to generate concise and readable summaries of pathology reports. While overall performance was strong, occasional errors and limitations in handling complex or multipart cases were noted. Further refinement and domain-specific model training may enhance the reliability and clinical utility of artificial intelligence--assisted reporting. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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