Wearable AI to enhance patient safety and clinical decision-making

Wearable artificial intelligence (AI) technologies show promise in healthcare, with early applications demonstrating diverse benefits for patient safety. These systems go beyond traditional data collection, using advanced algorithms to provide real-time clinical guidance. From infectious disease monitoring to AI-powered surgical assistance, these technologies enable proactive, personalized care while addressing critical safety gaps. However, successful implementation requires careful consideration of technical, operational, and ethical challenges.

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Publication Details

Journal
npj Digital Medicine
Published
2025-03-22
DOI
https://doi.org/10.1038/s41746-025-01554-w
Citations
31
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
20.28
Controls
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article

Wearable AI to enhance patient safety and clinical decision-making

Dylan Powell, Kimia Heydari, Arjun Mahajan
31 citations
npj Digital Medicine
Artificial Intelligence in Healthcare and Education
20.28
article

Wearable AI to enhance patient safety and clinical decision-making

Dylan Powell, Kimia Heydari, Arjun Mahajan
article en
31 citations

Abstract

Wearable artificial intelligence (AI) technologies show promise in healthcare, with early applications demonstrating diverse benefits for patient safety. These systems go beyond traditional data collection, using advanced algorithms to provide real-time clinical guidance. From infectious disease monitoring to AI-powered surgical assistance, these technologies enable proactive, personalized care while addressing critical safety gaps. However, successful implementation requires careful consideration of technical, operational, and ethical challenges.

npj Digital MedicineVol. 8(1)
University of Stirling (GB), Harvard University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 1%
Artificial Intelligence in Healthcare and Education
20.28
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