The accuracy of AI in diagnosing diseases depends on various factors, including the quality and quantity of the data used for training the AI model, the complexity of the disease being diagnosed, and the specific AI algorithm utilized. While AI has shown promising results in some areas, it still requires validation and should be considered as a tool to support clinical decision-making rather than a standalone diagnostic tool.