JMIR Publications

ABSTRACT

The release of GPT-4o, an advanced multimodal generative AI model, generated substantial enthusiasm in the field of higher education. However, one year later, medical education continues to face significant challenges, demonstrating the need to move from initial experimentation of the integration of multimodal AI in medical education toward meaningful integration. In this Viewpoint, we argue that GPT-4o’s true value lies not in novelty, but in its potential to reshape training in communication skills, clinical reasoning, and procedural skills by offering real-time simulations and adaptive learning experiences using text, audio, and visual inputs in a safe, immersive and cost-effective environment. We explore how this innovation has made it possible to addresses key medical educational challenges by simulating realistic patient interactions, offering personalised feedback and reducing educator workloads and costs, where traditional teaching methods struggle to replicate the complexity and dynamism of real-world clinical scenarios. However, we also address the critical challenges of this approach, including data accuracy, bias and ethical decision making. Rather than seeing GPT-4o as a replacement, we propose its use as a strategic supplement - scaffolded into curriculum frameworks and evaluated through ongoing research. As the focus shifts from AI novelty to sustainable implementation, we call on educators, policymakers, and curriculum designers to establish governance mechanisms, pilot evaluation strategies, and develop faculty training. The future of AI in medical education depends not on the next breakthrough, but on how we integrate today’s tools with intention and rigour.