Entering the era of photorealistic AI-generated medical images.
Artificial intelligence image training improved medical students' diagnostic accuracy to 71.27%.
Entering the era of photorealistic AI-generated medical images.
Artificial intelligence (AI)-generated medical images are reaching photorealistic quality, which could help medical education within visually driven specialties such as ophthalmology and dermatology.
We aim to prepare young doctors for a future AI-integrated healthcare environment.
Such technology may make customizable teaching materials more accessible.
However, as real and generated images become harder to distinguish, several concerns emerge.
To address these challenges, we propose a three-stage human-machine collaborative framework.
Stage 1 uses AI-generated disease images for static feature recognition, Stage 2 simulates disease trajectories for dynamic clinical reasoning, and Stage 3 integrates supervised human-machine collaborative diagnosis for real-world decision-making.
We aim to prepare young doctors for a future AI-integrated healthcare environment.