Despite its potential, AI-driven histology faces several challenges:
Data Quality: High-quality, annotated data is essential for training effective AI models. Interpretability: Understanding how AI algorithms make decisions is crucial for gaining trust from medical professionals. Regulatory Approval: Ensuring AI-driven tools meet regulatory standards for clinical use can be a lengthy process.
