The Role of Artificial Intelligence for Providing Scientific Content for Laboratory Medicine

Alan H.B. Wu, Allan S. Jaffe, William Franklin Peacock, Pete Kavsak, Dina Greene, Robert H. Christenson

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Artificial intelligence (AI) promises to become an important tool in the practice of laboratory medicine. AI programs are available online that can provide concise medical and laboratory information within seconds after a question is submitted. Methods: We posed the following contemporary and relevant question for clinical chemists using an AI program: “Should labs eliminate CK-MB testing?” The results of this inquiry were critically reviewed by a cardiologist, emergency department physician, and clinical laboratorians for accuracy and appropriateness. Results: An AI report answering this question was generated within 15 s. The experts felt that the information was inaccurate with the statements that CK-MB results are released earlier than cardiac troponin (cTn), and are more useful for detection of myocardial injury in patients with renal insufficiencies. The summary omitted discussion on the ongoing debate for periprocedural detection of acute myocardial infarction (MI), the perceived value for detection of reinfarction, the value in risk stratification compared to cTn, the economic justification for testing both CK-MB and cTn, and medicolegal aspects of testing when results are discordant. Conclusions: At this time, AI does not appear to be ready to be used by clinical laboratories for answering important practice questions.

Original languageEnglish (US)
Pages (from-to)386-393
Number of pages8
JournalJournal of Applied Laboratory Medicine
Volume9
Issue number2
DOIs
StatePublished - Mar 1 2024

ASJC Scopus subject areas

  • General Medicine

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