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

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Journal Article
Publication Date
2024-08-23
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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.

Source

Lilly CM, Soni AV, Dunlap D, Hafer N, Picard MA, Buchholz B, McManus DD. Advancing Point-of-Care Testing by Application of Machine Learning Techniques and Artificial Intelligence. Chest. 2025 Jan;167(1):152-159. doi: 10.1016/j.chest.2024.03.051. Epub 2024 Aug 23. PMID: 39182574.

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10.1016/j.chest.2024.03.051
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National Institutes of Health grant U54-HL 143541
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Copyright © 2024. Published by Elsevier Inc.