Artificial Intelligence and Digital Pathology: Challenges and Opportunities
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Updated: Jan 31, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Hamid Reza Tizhoosh1,2, Liron Pantanowitz3
1Kimia Lab, University of Waterloo, Canada.
Abstract:
In light of the recent success of artificial intelligence (AI) in computer vision applications, many researchers and physicians expect that AI would be able to assist in many tasks in digital pathology. Although opportunities are both manifest and tangible, there are clearly many challenges that need to be overcome in order to exploit the AI potentials in computational pathology. In this paper, we strive to provide a realistic account of all challenges and opportunities of adopting AI algorithms in digital pathology from both engineering and pathology perspectives.
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