What Challenges Exist in the Application of AI and ML in Histology?
Despite its potential, there are several challenges:
Data Quality: AI algorithms require high-quality, annotated data for training, which can be difficult to obtain. Interpretability: Understanding how AI models make decisions can be complex, posing challenges for clinical acceptance. Integration: Integrating AI systems into existing clinical workflows requires significant effort and adaptation.
