While AI systems have shown great promise, they are not infallible. The accuracy of AI in cancer care depends heavily on the quality and quantity of data used to train the algorithms. Therefore, it's crucial to use AI as a supplementary tool rather than a replacement for human expertise. Ongoing clinical trials and real-world testing are essential to validate the efficacy of these AI systems.
