Comparative Performance of Anthropic Claude and <scp>OpenAI GPT</scp> Models in Basic Radiological Imaging Tasks
Given Claude and GPT's current accuracy and reliability, the integration of these models into clinical settings is not yet feasible. This study highlights the need for ongoing development and establishment of standardised testing techniques to ensure these models achieve reliable performance.
Authors
- Daniel Carrion (ORCID: https://orcid.org/0000-0002-7564-8210)
- Mohamed Khaldoun Badawy (ORCID: https://orcid.org/0000-0001-8029-9951)
- Cindy Nguyen
Institutions
- Monash Health (AU)
- Monash University (AU)
Publication Details
- Journal
- Journal of Medical Imaging and Radiation Oncology
- Published
- 2025-04-08
- DOI
- https://doi.org/10.1111/1754-9485.13858
- Citations
- 10
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 6.54