Artificial intelligence (AI) and machine learning (ML) has the potential to transform healthcare. Despite recent advances in AI/ML in everyday life, clinical use of AI/ML remains embryonic. Significant technological, regulatory, and cultural challenges remain. This presentation provides an overview of AI/ML, common classification techniques, and current AI/ML applications in healthcare with focus on laboratory testing.

Learning Objectives:

  • Define artificial intelligence (AI) and machine learning (ML) in health care.
  • Discuss common analytical techniques used for AI/ML and highlight strengths and weaknesses.
  • Identify areas where AI/ML could be used in laboratory medicine and its potential impact in point-of-care settings.
  • Discuss the future of AI/ML in POC testing and how it impacts healthcare.

​​​​This basic-level, complimentary webinar is produced by Whitehat Communications. Whitehat Communications is approved as a provider of continuing education programs in the clinical laboratory sciences by the ASCLS P.A.C.E.® Program.

About the Speaker

Nam K Tran
Nam K. Tran, PhD, HCLD (AABB), FACB
Professor of Clinical Pathology
Pathology and Laboratory Medicine
University of California, Davis, School of Medicine

Dr. Tran completed his PhD in Comparative Pathology and has an MS in Pharmacology/Toxicology, respectively, in 2008 and 2011, at UC Davis. This was followed by postdoctoral training through the National Institutes of Health/UC Davis Point-of-Care (POC) Technologies Center focusing on POC applications in emergency, disaster, and critical care. In 2011, he accepted an Assistant Professor position with the Department of Pathology and Laboratory Medicine at UC Davis. Currently, Dr. Tran is a board-certified clinical chemist and serves as Professor of Clinical Chemistry, Special Chemistry/Toxicology, and Point-of-Care Testing at UC Davis Health, and also serves on both the University of California and California State COVID-19 Testing Task Force.

We thank the South Carolina POC Network for their commitment to supporting continuing education.

Orchard Software is a proud sponsor of this P.A.C.E®-accredited opportunity on behalf of ​Whitehat Communications