Pathology Made Simple: ChatGPT’s Summarization of Pathology Reports
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.
Authors
- Assaf Debby (ORCID: https://orcid.org/0000-0002-6387-080X)
- Nora Balint‐Lahat
- Ginette Schiby
- Chen Mayer (ORCID: https://orcid.org/0000-0002-7871-6338)
- Iris Barshack (ORCID: https://orcid.org/0000-0001-8216-8963)
- Gali Zabarsky Shasha
Institutions
- Tel Aviv University (IL)
- Sheba Medical Center (IL)
Publication Details
- Journal
- Archives of Pathology & Laboratory Medicine
- Published
- 2025-09-16
- DOI
- https://doi.org/10.5858/arpa.2025-0072-oa
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00