• Chest · Aug 2024

    Review

    Advancing Point of Care Testing by Application of Machine Learning Techniques and Artificial Intelligence.

    • Craig M Lilly, Apurv V Soni, Denise Dunlap, Nathaniel Hafer, Mary Ann Picard, Bryan Buchholz, and David D McManus.
    • Department of Medicine, UMass Chan Medical School, Worcester, MA; Department of Anesthesiology and Department of Surgery, UMass Chan Medical School, Worcester, MA; Graduate School of Biomedical Sciences, UMass Chan Medical School, Worcester, MA; UMass Memorial Health, Worcester, MA. Electronic address: craig.lilly@umassmed.edu.
    • Chest. 2024 Aug 23.

    AbstractThe promise of artificial intelligence has generated enthusiasm among patients, health care professionals, and technology developers who seek to leverage its potential to enhance the diagnosis and management of an increasing number of chronic and acute conditions. Point-of-care testing increases access to care because it enables care outside of traditional medical settings. Collaboration among developers, clinicians, and end users is an effective best practice for solving clinical problems. A common set of clearly defined terms that are easily understood by research teams is a valuable tool that fosters these collaborations.Copyright © 2024. Published by Elsevier Inc.

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