What are the challenges in integrating AI into histology?
Despite its potential, integrating AI into histology faces several challenges. One major hurdle is the need for large, high-quality annotated datasets to train AI algorithms effectively. Additionally, there is a need for interdisciplinary collaboration between pathologists, data scientists, and software engineers. Regulatory approval processes for AI-driven diagnostic tools can be lengthy and complex. Finally, there is a learning curve associated with adopting new technologies, and ongoing training is essential for pathologists to effectively utilize AI systems.
