How ChatGPT's Different Versions Measure Up in Medical Training

ChatGPT has become a hot topic in medical education, especially for teaching clinical reasoning skills. One way to test this is through Script Concordance Tests (SCTs), which check how well someone can make decisions when things are uncertain. Recently, four versions of ChatGPT—3. 5, 4, 4o, and 5—were put to the test against experts in Geriatric Medicine to see how they stack up. The idea was to see if these AI models could keep up with human experts in geriatric care. This is important because as AI becomes more common in medical training, it's crucial to know if it can handle the complexities of real-world medical scenarios. The results showed that while ChatGPT is impressive, it still has room for improvement. Each version had its strengths and weaknesses, but none could fully match the expertise of human geriatricians. This raises questions about how much we can rely on AI for medical training and where the gaps might be. One thing to consider is that AI models like ChatGPT are trained on vast amounts of data, but they don't have real-world experience. They don't feel the pressure of making life-or-death decisions, which can shape a doctor's reasoning. This is where human expertise still holds an edge. Another angle is how quickly AI is evolving. New versions of ChatGPT are released regularly, each with improvements. This means the performance of these models in medical training could change rapidly. It's a reminder that the field of AI is fast-moving, and what's true today might not be tomorrow. Overall, the study highlights the potential of AI in medical education but also its limitations. It's a good reminder that while AI can be a powerful tool, it's not a replacement for human expertise—at least not yet.