[Live Webinar] Bridging Large Language Models: Unlocking the Potential of AI in Laboratory Medicine (Online CE Course)

Author: Min Yu, MD, PhD, MBA, DABCC
Reviewer: Laurie Bjerklie, MA, MLS(ASCP)CM

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Continuing Education Credits

P.A.C.E.® Contact Hours (acceptable for AMT, ASCP, and state recertification): 1 hour(s)
Approved through 6/25/2026
Florida Board of Clinical Laboratory Personnel Credit Hours - Supervision/Administration, Quality Control/Quality Assurance, and Safety: 1 hour(s)
Approved through 6/25/2026

Objectives

  • Define large language models (LLMs) and explain their underlying architecture and key features.
  • Describe the current landscape of LLMs in medicine and laboratory medicine.
  • Identify current and emerging applications of LLMs in laboratory medicine, including clinical, administrative, and educational uses.
  • Evaluate the potential risks and limitations of LLM adoption in laboratory practice.
  • Apply strategies to mitigate LLM-related risks.
  • Discuss practical considerations and steps for integrating LLMs into laboratory workflows.

Additional Information

Level of Instruction: Basic
Intended Audience: Medical laboratory scientists, medical laboratory technicians, laboratory supervisors, laboratory managers, and health care administration. This course is also appropriate for MLS and MLT students and pathology residents.
Author Information: Dr. Min Yu, MD, PhD, MBA, DABCC, is a clinical faculty member in the Department of Pathology at Harvard Medical School and serves as the Director of Point of Care Testing and Point of Service Laboratories at Beth Israel Deaconess Medical Center. She also holds the role of CLIA Director at Beth Israel Deaconess Healthcare-Chestnut Hill. Prior to this role, she spent over six years at the University of Kentucky's Department of Pathology and Laboratory Medicine, serving as an Assistant Professor, Associate Director of Clinical Chemistry, and Director of the Clinical Toxicology Laboratory. Dr. Yu’s professional expertise spans laboratory automation, test utilization, and drug testing for pain management. She is also focused on incorporating AI tools into laboratory medicine to drive biomarker discovery and streamline laboratory workflows. Her work has been published in prestigious peer-reviewed journals and presented at both national and international conferences, reflecting her commitment to advancing the field of laboratory medicine.
Dr. Yu is actively participating in various professional societies, including AACC, NACCCA, ASCP, and CLSI, contributing to initiatives that promote innovation and collaboration within the laboratory medicine community. She currently serves as the Program Chair and Chair-elect of Northeast AACC. Dr. Yu is a Diplomat of the American Board of Clinical Chemistry and completed a clinical chemistry fellowship at the University of Virginia. She holds a medical degree from Nanjing Medical University in China, a PhD in Molecular and Environmental Toxicology from the University of Wisconsin-Madison, and MBA in healthcare leadership from the University of Kentucky.
The author has no conflict of interest to disclose.
Reviewer Information: Laurie Bjerklie, MA, MLS(ASCP)CM, is a Lead Education Developer. She earned a B.S. in Medical Laboratory Science from the University of North Dakota and an M.A. in Curriculum and Instruction from Saint Xavier University. She has over 15 years of experience in higher education and has held program director and faculty positions in both MLT and MLS programs.

How to Subscribe
MLS & MLT Comprehensive CE Package
Includes 223 CE courses, most popular
$109Add to cart
Pick Your Courses
Up to 8 CE hours
$55Add to cart
Individual course$25Add to cart