Evaluating Microsoft Bing with ChatGPT-4 for the assessment of abdominal computed tomography and magnetic resonance images
The contribution of large language models (LLMs) to the diagnostic process in radiology is still being explored. However, with a comprehensive understanding of their capabilities and limitations, LLMs can significantly support radiologists during diagnosis and improve the overall efficiency of abdominal radiology practices. Acknowledging the limitations of current studies related to ChatGPT in this field, our work provides a foundation for future clinical research, paving the way for more integrated and effective diagnostic tools.
Authors
- Duygu Doğa Ekizalioğlu (ORCID: https://orcid.org/0000-0002-6372-2567)
- Ezgi Güler (ORCID: https://orcid.org/0000-0002-8028-0350)
- Alperen Elek (ORCID: https://orcid.org/0000-0001-5414-6548)
Institutions
- Ege University (TR)
Publication Details
- Journal
- Diagnostic and Interventional Radiology
- Published
- 2024-08-19
- DOI
- https://doi.org/10.4274/dir.2024.232680
- Citations
- 10
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.04