Are there any challenges associated with AI and ML in Histology?
Despite the benefits, several challenges need to be addressed:
Data quality: AI models require high-quality, annotated datasets for training, which can be time-consuming to produce. Interpretability: Understanding how AI models make decisions is crucial for gaining trust in their recommendations. Ethical concerns: The use of AI in medical diagnostics raises questions about data privacy and the potential for bias. Integration: Seamlessly integrating AI tools into existing workflows can be challenging.
