By Anthony Kurec, MS, MASCP, H(ASCP)DLM
LEARNING OBJECTIVES
Upon completion of this article, the reader will be able to:
- Summarize the foundation of AI and its presence in healthcare.
- Differentiate the computer science tests that have proven AI to be valuable, and define the factors that make up the elements of AI.
- Identify examples of how AI has been used in the field of healthcare.
- Discuss reasons for failures of AI in healthcare settings.
About the Author
Anthony Kurec, MS, MASCP, H(ASCP)DLM is Clinical Associate Professor, Emeritus, at SUNY Upstate Medical University in Syracuse, NY. He is also a member of the MLO Editorial Advisory Board.
Cover photo credit: inkoly & metamorworks iStock / Getty Images Plus Getty Images
Course Includes
- 1 Article
- 1 Test
- Course Certificate
MLO and Northern Illinois University (NIU), DeKalb, IL, are co-sponsors in offering continuing education units (CEUs) for this issue’s CE article. CEUs or contact hours are granted by the College of Health and Human Sciences at Northern Illinois University, which has been approved as a provider of continuing education programs in the clinical laboratory sciences by the ASCLS P.A.C.E.® program. Continuing education credits awarded for successful completion of this test are acceptable for the ASCP Board of Registry Continuing Competence Recognition Program. Readers who pass the test successfully (scoring 70% or higher) will receive a certificate for 1 contact hour of P.A.C.E.® credit. The fee for this continuing education test is $20. This test was prepared by Amanda Voelker, MPH, MT(ASCP), MLS, Clinical Education Coordinator, School of Health Studies, Northern Illinois University, DeKalb, IL.
Level of Instruction:
Passing scores of 70 percent or higher are eligible for contact hour of P.A.C.E. credit. This test is no longer valid for CEUs after .
NIU is approved as a provider of continuing education programs in the clinical laboratory sciences by the ASCLS P.A.C.E. ® Program.