Harnessing GPT-4 for automated error detection in pathology reports: Implications for oncology diagnostics
GPT-4 demonstrates substantial potential in improving the efficiency and accuracy of pathology error detection, which could accelerate clinical workflows and enhance cancer diagnostics. However, its higher false-positive rate emphasizes the need for human oversight to ensure safe implementation in clinical practice.
Authors
- Huiyin Deng (ORCID: https://orcid.org/0000-0001-5405-9719)
- Rilan Bai (ORCID: https://orcid.org/0000-0001-5502-8295)
- Maoli Liang (ORCID: https://orcid.org/0000-0002-5112-0892)
- Xiongwen Yang (ORCID: https://orcid.org/0000-0003-4968-8953)
- Huiyou Shi (ORCID: https://orcid.org/0000-0001-5677-1312)
- Jingjing Li (ORCID: https://orcid.org/0000-0003-2751-9753)
- Yun Zhang (ORCID: https://orcid.org/0000-0002-3818-2968)
- Dan Liu (ORCID: https://orcid.org/0009-0004-0858-0561)
- Zihao Yuan (ORCID: https://orcid.org/0000-0003-3000-6350)
- Yi Xiao (ORCID: https://orcid.org/0000-0003-2946-9921)
- Jian Huang (ORCID: https://orcid.org/0000-0002-0363-2412)
- Zhijun Chen (ORCID: https://orcid.org/0000-0001-9986-9803)
- Chuan Xu (ORCID: https://orcid.org/0009-0004-0588-1780)
- Longyan Dong (ORCID: https://orcid.org/0009-0004-5697-9462)
- Jinyan Jiang
- WeiJuan Tang
Institutions
- Central South University (CN)
- Sun Yat-sen University (CN)
- Guangdong Medical College (CN)
- Jiangxi Provincial Cancer Hospital (CN)
- Third Affiliated Hospital of Sun Yat-sen University (CN)
- Chenzhou First People's Hospital (CN)
- Guizhou Provincial People's Hospital (CN)
- Third Xiangya Hospital (CN)
- Beijing Fengtai Hospital (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251346703
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.62