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Impact of Artificial Intelligence on Pathologists' Decisions: An Experiment

Lead author Julien Meyer discusses this month's JAMIA Journal Club selection:

Meyer J, Khademi A, Bernard T, Wencui H, Nippak P, and Remisch D. Impact of Artificial Intelligence on Pathologists' Decisions: An Experiment. J Am Med Inform Assoc. 2022;ocac103. doi:10.1093/jamia/ocac103.

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Julien Meyer, MSc., PhD
Assistant Professor
Ryerson University, Ted Rogers School of Health Services Management
Toronto, Ontario

Dr. Julien Meyer is Assistant Professor at Ted Rogers School of Management. His research has been published in prominent medical research publications, such as the Journal of the American Medical Informatics Association, Telemedicine and e-Health, the Archives of Pathology & Laboratory Medicine and Diagnostic Pathology.  His research interests focus on the use and implementation of Artificial Intelligence by physicians and the transformative role of Information Technologies in healthcare organizations.

Before joining Ryerson University, Dr. Meyer was an IT practitioner for 10 years, working as Project Manager, Project Coordinator and Business Analyst in France and in Canada. He worked for IBM to implement Human Resources Information Systems in major corporations, and for TELUS Health Solutions to implement electronic health records across Montreal hospitals.  



Christina Baker, MS, BSN, NCSN, RN-BC
PhD Candidate - Faculty Teaching Fellow
University of Colorado, Anschutz Medical Campus
Denver, CO


Jiancheng Ye
PhD Student - Health Sciences Integrated Program
Northwestern University
Evanston, IL


Statement of Purpose

The accuracy of artificial intelligence (AI) in medicine and in pathology in particular has made major progress but little is known on how much these algorithms will influence pathologists’ decisions in practice. The objective of this paper is to determine the reliance of pathologists on AI and to investigate whether providing information on AI impacts this reliance. 

Using an online survey design, the results suggest that pathologists are willing to rely on AI regardless of accuracy or explanations. But the study also suggested that the factors that influence the reliance on AI differ in practice from beliefs expressed by clinicians in surveys. Join the discussion to learn more. 

Target Audience

The target audience for this activity is professionals and students interested in health informatics.

Learning Objectives

After participating in this webinar the listener should be better able to:

  • Describe pathologists' use of and reliance on artificial intelligence (AI) to inform their decisions in practice
  • Identify how providing information about an AI algorithm impacts their reliance on AI


  • 35-minute presentation by article author(s) considering salient features of the published study and its potential impact on practice
  • 25-minute discussion of questions submitted by learners via the webinar tools and moderated by JAMIA Student Editorial Board members

Accreditation Statement

The American Medical Informatics Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

Commercial Support

No commercial support was received for this activity.

Disclosures for this Activity

The following planners and staff who are in a position to control the content of this activity disclose that they have no financial relationships with commercial interests/ineligible entities:

Presenter: Julien Meyer, MSc., PhD
JAMIA Journal Club Planners: Christina Baker; Jiancheng Ye; Kirk Roberts
AMIA Staff: Susanne Arnold; Kelly Taylor

Dates and Times: -
Type: Webinar
Course Format(s): On Demand
Price: Free