The Role of Artificial Intelligence for Providing Scientific Content for Laboratory Medicine
© Association for Diagnostics & Laboratory Medicine 2023. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:9 |
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| Enthalten in: |
The journal of applied laboratory medicine - 9(2024), 2 vom: 01. März, Seite 386-393 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Wu, Alan H B [VerfasserIn] |
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| Anmerkungen: |
Date Completed 04.03.2024 Date Revised 04.03.2024 published: Print Citation Status MEDLINE |
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| doi: |
10.1093/jalm/jfad095 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM365927635 |
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| 520 | |a © Association for Diagnostics & Laboratory Medicine 2023. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com. | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a CONCLUSIONS: At this time, AI does not appear to be ready to be used by clinical laboratories for answering important practice questions | ||
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| 700 | 1 | |a Christenson, Robert H |e verfasserin |4 aut | |
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