Comprehensive Summary
Patel et al compare ChatGPT with the dermatology-specific, DermGPT, to evaluate the quality of its answers to dermatology questions. Two dermatology residents created clinical questions that were answered by both models. The responses were given to dermatologists and dermatology residents who chose which answer had better quality, meaning that they thought it was the most accurate and best suited for patient care. The results showed that DermGPT’s answers were preferred more often than ChatGPT’s (48.1% to 28.4%), while ChatGPT’s reference citations were favored (46% to 23.5%). The authors conclude that DermGPT may be better suited for clinical reference, whereas ChatGPT provides more credible academic sourcing, suggesting a potential model combining both approaches.
Outcomes and Implications
This research is important as AI tools are increasingly used in medicine, and understanding their reliability is essential for patient safety. The findings indicate that dermatology-specific AI models may be more useful for quick clinical reference, while general models remain helpful for cited information. However, the authors note that this study had a very small sample size and may not represent all dermatology clinicians. Thus, future research should include models like Claude and Gemini, a larger sample size, and combining DermGPT’s quality with ChatGPT’s sourcing.