AI-assisted interpretation of bone scans: Performance comparison between ChatGPT-4o and a TFDA-approved bone scintigraphy platform in AI-driven nuclear imaging interpretation
ChatGPT-4o showed preliminary potential for detecting bone metastases and assisting in structured report drafting, but its limited lesion-localization performance restricts clinical applicability. The BS platform, developed specifically for bone scintigraphy, demonstrated more consistent regional accuracy in this dataset. These results represent an early proof-of-concept comparison, suggesting feasibility for reporting support rather than clinical deployment. Larger, multi-center studies and domain-specific training will be needed to clarify large language models' future role in nuclear medicine.
Authors
- Pak-Ki Chan
- W. Chen
- Yuan-Yu Lee
- Chiung-Wei Liao
- Ying Chen (ORCID: https://orcid.org/0000-0002-0319-4950)
- Pei-Chun Yeh (ORCID: https://orcid.org/0009-0004-7561-8304)
- Pei-Hsuan Lin
- Yu-Chieh Kuo
- Chia-Hung Kao
Institutions
- National Chung Hsing University (TW)
- China Medical University (TW)
- Asia University (JP)
- China Medical University (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1177/20552076261421075
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00