Artificial intelligence (AI) is poised to revolutionize medical diagnosis, as evidenced by a recent study published in *Science*. Researchers at Harvard Medical School and Beth Israel Deaconess Medical Center tested OpenAI's reasoning model, which diagnosed cases with 67% accuracy, outperforming human doctors who achieved 55% and 50% accuracy, respectively. This breakthrough highlights AI's potential to assist in clinical settings, but experts like Dr. Robert Wachter emphasize that diagnosis involves high risk and low feasibility, making it challenging to implement AI effectively. While AI can analyze vast amounts of data and generate insights, it lacks the human touch essential in medicine, such as delivering bad news or adjusting treatment based on patient interactions. Concerns also arise regarding the potential decline in human diagnostic skills as reliance on AI increases. The study underscores the need for robust evaluation frameworks and accountability measures in integrating AI into healthcare, as the medical community navigates this transformative technology.