How do computational methods and AI fit into histology?
Artificial Intelligence (AI) and machine learning have the potential to automate and enhance tissue analysis. However, the development of robust computational methods is still in its infancy. Training AI models requires large, annotated datasets, which are often unavailable. Moreover, the complexity of tissue structures poses challenges for algorithm accuracy. Ethical considerations, such as data privacy and the interpretability of AI decisions, also need to be addressed.
