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.

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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
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article

AI-assisted interpretation of bone scans: Performance comparison between ChatGPT-4o and a TFDA-approved bone scintigraphy platform in AI-driven nuclear imaging interpretation

Pak-Ki Chan, W. Chen, Yuan-Yu Lee, Chiung-Wei Liao et al.
Digital Health
Radiomics and Machine Learning in Medical Imaging
article

AI-assisted interpretation of bone scans: Performance comparison between ChatGPT-4o and a TFDA-approved bone scintigraphy platform in AI-driven nuclear imaging interpretation

Pak-Ki Chan, W. Chen, Yuan-Yu Lee, Chiung-Wei Liao, Ying Chen, Pei-Chun Yeh, Pei-Hsuan Lin, Yu-Chieh Kuo, Chia-Hung Kao
article en

Abstract

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.

Digital HealthVol. 12
National Chung Hsing University (TW), China Medical University (TW), Asia University (JP), China Medical University (CN)
Openalex Percentile: Top 59%
Radiomics and Machine Learning in Medical Imaging
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AI-assisted interpretation of bone scans: Performance comparison between ChatGPT-4o and a TFDA-approved bone scintigraphy platform in AI-driven nuclear imaging interpretation — Pak-Ki Chan, W. Chen, et al. · Digital Health (2026) | TGRS Research Map | TGRS