Craig M Lilly, Apurv V Soni, Denise Dunlap, Nathaniel Hafer, Mary Ann Picard, Bryan Buchholz, David D McManus
{"title":"Advancing Point-of-Care Testing by Application of Machine Learning Techniques and Artificial Intelligence.","authors":"Craig M Lilly, Apurv V Soni, Denise Dunlap, Nathaniel Hafer, Mary Ann Picard, Bryan Buchholz, David D McManus","doi":"10.1016/j.chest.2024.03.051","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":9782,"journal":{"name":"Chest","volume":" ","pages":"152-159"},"PeriodicalIF":9.5000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chest","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.chest.2024.03.051","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/23 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍：
At CHEST, our mission is to revolutionize patient care through the collaboration of multidisciplinary clinicians in the fields of pulmonary, critical care, and sleep medicine. We achieve this by publishing cutting-edge clinical research that addresses current challenges and brings forth future advancements. To enhance understanding in a rapidly evolving field, CHEST also features review articles, commentaries, and facilitates discussions on emerging controversies. We place great emphasis on scientific rigor, employing a rigorous peer review process, and ensuring all accepted content is published online within two weeks.
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