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

Journal: Chest
PMID: 39182574

Abstract

The 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.

Authors

  • Craig M Lilly
    Department of Medicine, UMass Memorial Medical Center, Worcester, MA; UMass Memorial Health, UMass Memorial Medical Center, Worcester, MA; Department of Anesthesiology and Surgery, University of Massachusetts, Worcester, MA; University of Massachusetts Chan Medical School, University of Massachusetts, Worcester, MA; Clinical and Population Health Research Program, University of Massachusetts, Worcester, MA; Graduate School of Biomedical Sciences, University of Massachusetts, Worcester, MA. Electronic address: craig.lilly@umassmed.edu.
  • Apurv V Soni
    Department of Medicine, UMass Chan Medical School, Worcester, MA; UMass Memorial Health, Worcester, MA.
  • Denise Dunlap
    University of Massachusetts Lowell, Lowell, MA; Manning School of Business, University of Massachusetts Lowell, Lowell, MA; Center for Clinical and Translational Science, UMass Chan Medical School, Worcester, MA.
  • Nathaniel Hafer
    Graduate School of Biomedical Sciences, UMass Chan Medical School, Worcester, MA; Program in Molecular Medicine, UMass Chan Medical School, Worcester, MA.
  • Mary Ann Picard
    University of Massachusetts Lowell, Lowell, MA; Department of Bioengineering, University of Massachusetts Lowell, Lowell, MA.
  • Bryan Buchholz
    University of Massachusetts Lowell, Lowell, MA; Department of Bioengineering, University of Massachusetts Lowell, Lowell, MA.
  • David D McManus
    Department of Medicine, University of Massachusetts Medical School, Worcester, MA, United States.

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