Application of Artificial Intelligence in Pathology: Trends and Challenges

Inho Kim1, Kyungmin Kang1, Youngjae Song1

  • 1College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea.

Summary

Artificial intelligence (AI) and deep learning are advancing digital pathology for image-based diagnosis. This work explores computational pathology (CPATH) development, applications, and challenges for integrating AI into lab workflows.