How Academic Pathology Programs Can Prepare for AI

In this episode, I sit down with three leaders shaping the future of pathology and AI in medicine at the University of Pittsburgh:

  • Dr. Liron Pantanowitz, Chair of the Department of Pathology
  • Dr. Hooman H. Rashidi, Associate Dean of AI in Medicine
  • Dr. Matthew Hanna, Vice Chair of Pathology Informatics

We talk about how a major academic institution integrates AI into pathology workflows, builds data infrastructure, fosters innovation, and brings new technologies to life. It’s a masterclass in leadership, collaboration, and impact.

Key Highlights

  • What it takes to build AI infrastructure and strategy in academic pathology
  • The intersection of research, clinical service, and education in AI
  • How diverse leadership roles align to drive innovation
  • Collaborations with computer science, engineering, and bioinformatics
  • Regulatory and practical challenges in deploying pathology AI
  • Why team-based efforts are critical for scaling digital transformation
  • Institutional culture and mindset around embracing AI