Despite the potential benefits, several challenges must be addressed before widespread adoption. One major issue is the need for large, high-quality annotated datasets to train machine learning models. Obtaining such datasets is time-consuming and requires expert input. Moreover, the interpretability of AI models is a concern; pathologists and clinicians need to understand how an AI system arrives at a particular diagnosis. Finally, regulatory and ethical considerations must be managed, particularly regarding patient privacy and data security.
