Making the Promise of AI a Reality in Laboratory Medicine and Pathology

June 26, 2025
11 a.m.–Noon CT

Cost

Free for all participants.

Overview

This webinar explores how artificial intelligence (AI) and digital pathology have the potential to revolutionize the clinical laboratory landscape. These technologies are transforming traditional laboratory practices by introducing advanced tools that enhance diagnostic and analytical capabilities. Digital pathology involves the digitization of pathology slides, allowing for more efficient storage, sharing, and analysis. AI, on the other hand, leverages machine learning algorithms to analyze complex data, providing faster and more accurate results. Together, they are setting new standards for precision diagnostics, early disease detection, and personalized medicine. 

Despite their promising benefits, the widespread adoption of digital pathology and AI in clinical laboratories faces several challenges. Regulatory policies, data management, clinician trust, and integration into existing workflows are significant barriers that need to be addressed. Overcoming these obstacles will require collaboration among stakeholders within and outside your institution. As these technologies continue to evolve, they hold the potential to significantly improve patient outcomes and streamline laboratory operations.

Presenter

Christopher Garcia profile 800x800

Christopher Garcia, M.D. 

Assistant Professor of Laboratory Medicine and Pathology 
Division of Computational Pathology and AI
Mayo Clinic, Rochester, Minnesota 

Deb Novak profile 800x800

Deb Novak, MBA

Instructor in Laboratory Medicine and Pathology
Administrator, Division of Computational Pathology and AI
Mayo Clinic, Rochester, Minnesota

Learning objectives

Upon completion of this activity, participants should be able to:

  • Describe new technology in digital pathology and AI that is changing how labs work.
  • Explain how these new tools can be used to scale laboratory operations.
  • Analyze how digital pathology and AI are improving diagnostics, early disease detection, and personalized medicine.
  • Discuss challenges that still exist for using these technologies widely, like rules, data management, trust from clinicians, and fitting into current workflows.

Intended audience

This webinar is appropriate for laboratory administrators and managers, quality assurance and control staff, supervisors, and other laboratory personnel who are dedicated to continuous quality and process improvement.

Credit

The following types of credit are offered for this event:

ASCLS P.A.C.E.®

Mayo Clinic Laboratories is approved as a provider of continuing education programs in the Clinical Laboratory Sciences by the ASCLS P.A.C.E.® program. This program has been approved for a maximum of 1.0 P.A.C.E.® contact hour.

State of Florida

Mayo Clinic Laboratories is approved as a Continuing Education Accrediting Agency for the Clinical Laboratory Sciences for the State of Florida. Florida Board of Clinical Laboratory Personnel has designated this program for General credit. This program has been approved for 1.0 contact hour.

To obtain credit


1. Register for and participate in the program.

2. Complete the evaluation that will be sent to you after the program.

3. Generate and print your certificate(s).


Level of instruction for this program is basic.


Faculty disclosure


Course director(s), planning committee, faculty, and all others who are in a position to control the content of this educational activity are required to disclose all relevant financial relationships with any commercial interest related to the subject matter of the educational activity. Safeguards against commercial bias have been put in place. Faculty members also will disclose any off-label and/or investigational use of pharmaceuticals or instruments discussed in their presentations. Disclosure of this information will be published in course materials so those participants in the activity may formulate their own judgments regarding the presentations.

Questions

Contact us: mcleducation@mayo.edu

MCL Education

This post was developed by our Education and Technical Publications Team.