Evolving Minds: Natural Learning vs. Artificial Learning in Ophthalmology Training
ChatGPT-4o showed a marked improvement in answering ophthalmology questions compared to its predecessor, whereas resident learning progressed more gradually. This rapid advancement in ChatGPT highlights the potential speed with which artificial learning can progress within defined boundaries. In contrast, human learning remains a deeper and more time-intensive process. Results suggest that evolving large language models will play an increasingly significant role in medical education and clinical support.
Authors
- Ali Safa Balcı (ORCID: https://orcid.org/0000-0001-9161-7839)
- Zeliha Yazar (ORCID: https://orcid.org/0000-0003-1340-543X)
- Banu Turgut Ozturk
- Çiğdem Altan
Institutions
- Selçuk University (TR)
- Memorial Ankara Hospital (TR)
- Başkent University Hospital (TR)
- Sağlık Bilimleri Üniversitesi (TR)
- University of Health Sciences Antigua (AG)
Publication Details
- Journal
- Turkish Journal of Ophthalmology
- Published
- 2026-02-18
- DOI
- https://doi.org/10.4274/tjo.galenos.2025.16517
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00