Artificial intelligence vs human expertise: A comparison of plantar fascia thickness measurements through MRI imaging
ChatGPT-4 demonstrated lower reliability in plantar fascia thickness measurements compared to an experienced clinician, with increased error rates in thin structures. These findings highlight the limitations of AI-based models in medical image analysis and emphasize the need for further refinement before clinical implementation.
Authors
- Mustafa Turgut Yıldızgören (ORCID: https://orcid.org/0000-0002-9697-6184)
- Burak Tayyip Dede (ORCID: https://orcid.org/0000-0002-0127-8958)
- Fatih Bağcıer (ORCID: https://orcid.org/0000-0002-6103-7873)
- Bülent Alyanak (ORCID: https://orcid.org/0000-0003-4295-4286)
- İsa Çakar
Institutions
- Istanbul Metropolitan Municipality (TR)
- Sivas State Hospital (TR)
- Istanbul Eye Hospital (TR)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2025-06-03
- DOI
- https://doi.org/10.1016/j.ijmedinf.2025.105999
- Citations
- 1
- Primary Topic
- Myofascial pain diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.15