While AI has significant potential, it's important to acknowledge its current limitations and challenges, such as the quality and diversity of the training data. AI systems are only as good as the data they are trained on; bias in datasets can lead to skewed results. Furthermore, integrating AI into clinical practice involves overcoming regulatory, ethical, and privacy hurdles, requiring ongoing research and collaboration.
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