Assessing the capabilities of AI-based large language models (AI-LLMs) in interpreting histopathological slides and scientific figures: performance evaluation study
ChatGPT-4 excels in interpreting histopathology and scientific images, which may lead to improving diagnostic accuracy, clinical decision-making, and reducing pathologists' workload. It also benefits education by enhancing students' understanding of complex images and promoting interactive learning. ChatGPT-4 shows a significant potential to improve patient care and enrich student learning.
Authors
- Rimbun Rimbun (ORCID: https://orcid.org/0000-0001-8283-7696)
- Khanisyah Erza Gumilar (ORCID: https://orcid.org/0000-0002-5050-2370)
- Grace Ariani (ORCID: https://orcid.org/0000-0003-2099-8915)
- Tri Hartini Yuliawati (ORCID: https://orcid.org/0000-0002-3669-0918)
- Priangga Adi Wiratama (ORCID: https://orcid.org/0000-0002-2574-1804)
- Hong Chen
- Ibrahim H. Ibrahim
Institutions
- China Medical University (TW)
- Universitas Airlangga (ID)
Publication Details
- Journal
- Biomedicine
- Published
- 2026-02-25
- DOI
- https://doi.org/10.37796/2211-8039.1698
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00