Answer / Kapil Dubey

AI-powered diagnosis tools may have several limitations. First, they often require large amounts of training data to achieve acceptable accuracy. Second, the models can be biased if the training data does not represent a diverse patient population or if there are unbalanced classes in the data. Third, AI systems might struggle with interpreting rare diseases or conditions that were not adequately represented during the training phase. Lastly, AI tools may misdiagnose patients due to false positives or negatives, which can have serious consequences.

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