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Leveraging machine learning in nursing: innovations, challenges, and ethical insights.

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Bibliographic Details
Title: Leveraging machine learning in nursing: innovations, challenges, and ethical insights.
Authors: Yip SSW; School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, Hong Kong SAR, China., Ning S; School of Computer Science, University of Leeds, Leeds, United Kingdom., Wong NYK; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China., Chan J; Department of Mathematics, Faculty of Natural Sciences, Imperial College, London, United Kingdom., Ng KS; Department of Diagnostic Radiology, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China., Kwok BOT; Department of Ocean Science, Hong Kong University of Science and Technology, Hong Kong, Hong Kong SAR, China., Anders RL; School of Nursing, University of Texas at El Paso, El Paso, TX, United States., Lam SC; School of Nursing, Tung Wah College, Hong Kong, Hong Kong SAR, China.
Source: Frontiers in digital health [Front Digit Health] 2025 May 23; Vol. 7, pp. 1514133. Date of Electronic Publication: 2025 May 23 (Print Publication: 2025).
Publication Type: Journal Article; Review
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101771889 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-253X (Electronic) Linking ISSN: 2673253X NLM ISO Abbreviation: Front Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2673-253X
DOI:10.3389/fdgth.2025.1514133