Artificial intelligence is increasingly becoming integrated into the daily practice of pathology, not as a replacement for the pathologist, but as an invisible layer of support throughout the diagnostic workflow. This plenary presentation follows a pathologist through a typical working day to demonstrate how AI can assist across the pre-analytic, analytic, and post-analytic phases of care. Through practical examples in digital pathology, the talk highlights how AI can help prioritize cases, improve quality control, surface relevant clinical context, assist with image analysis and differential diagnosis, streamline reporting, and enhance patient safety through automated quality assurance. Beyond improving efficiency, these technologies also transform routine pathology workflows into valuable sources of structured clinical and research data. Using real-world diagnostic scenarios, the presentation focuses on the practical clinical impact of AI adoption in pathology and argues that the most effective AI is often the least visible - seamlessly supporting pathologists in delivering faster, safer, and more informed patient care.

Learning Objectives:

1. Describe how AI can support pathologists across the pre-analytic, analytic, and post-analytic phases of their workflow.
2. Identify practical applications of AI in digital pathology that can improve patient care and enhance operational efficiency
3. Discuss how AI-enabled workflows can generate structured data for clinical research and real-world evidence development.

A pathologist does far more than sign out cases. Why should our digital platforms be built for only one part of the job?

In a single day, a pathologist may diagnose, consult, teach, collaborate, and do research…and leverage AI at every step. For decades, the microscope supported all these roles. But digitally, they’re often built as separate systems: one for clinical practice, others for consultation, education, or research.

What if you could connect them?

In this workshop, leaders from major digital pathology programs will show how they are using PathPresenter's scanner-agnostic, AI-agnostic, LIS-agnostic platform to build connected ecosystems with the pathologist back at the center. See how a single digital environment can support:

• Clinical sign-out: Integrated viewing, collaboration, annotation, and AI.
• Expert consultation: Connect subspecialty expertise across institutions and geography without moving glass.
• Education: Move beyond multiheaded microscopes and static PowerPoint to teach, collaborate, and share globally.
• Research: Find cases, connect images with data, collaborate, and create datasets for computational pathology.

Hear directly from the experts doing it:

Dr. Rajendra Singh
University of Pennsylvania | Founder, PathPresenter

Dr. Swati Suutarwar
The Ohio State University

Dr. Matthew Hanna
UPMC

Dr. Junya Fukuoka
Nagasaki University

Dr. Archana Shenoy
CCHMC

See how leading pathologists are using connected digital workflows today—and what they learned building them.

Attendees will leave with a practical understanding of how clinical care, consultation, education, research, and AI can exist within one connected digital ecosystem—and ideas they can take back to -their own institutions.