Adapting ChatGPT for Color Blindness in Medical Education.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 39602035.
- Also identified by DOI 10.1007/s10439-024-03656-0 and PMC identifier 11782439.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Color vision deficiency (CVD) affects a significant portion of the population, yet its impact is often overlooked in medical education, especially in visually demanding specialties like dermatology, pathology, and radiology. In this study, we investigated the potential of ChatGPT to comprehend CVD-simulated images in image-based diagnostic tasks. Notably, the model successfully adapted its diagnostic reasoning to match CVD-modified color perception while preserving high prediction accuracy. These findings highlight the potential of using ChatGPT to foster more inclusive learning environments for individuals with CVD in visually intensive medical specialties.
Medical subject headings
- Color Vision Defects
- Education, Medical