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Reshaping the healthcare world by AI-integrated wearable sensors following COVID-19
Department of Biomedical Engineering, City University Hong Kong, Hong Kong; Hong Kong Center for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong.
Department of Biomedical Engineering, Riphah International University Lahore, Pakistan.
Department of Biomedical Engineering, Riphah International University Lahore, Pakistan.
Department of Biomedical Engineering, Riphah International University Lahore, Pakistan.
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2025 (English)In: Chemical Engineering Journal, ISSN 1385-8947, E-ISSN 1873-3212, Vol. 505, article id 159478Article in journal (Refereed) Published
Abstract [en]

Wearable sensors have garnered considerable interest from researchers in regard to their recent advancements. However, because of the pandemic and global turmoil, wearable devices have emerged as potential solution to combat the COVID-19 disease. Wearable devices enhanced with artificial intelligence (AI) can analyse extensive amounts of physiological data and provide users with estimates of possible risk factors and related illnesses. This review article focuses on the evolution and integration of AI in wearable sensors following pandemics. These technological breakthroughs have resulted in the development of contemporary wearable devices that are endowed with the ability to monitor various health parameters, anticipate prospective health issues, and provide early warnings before an event occurs. These advancements enhance our awareness for future health emergencies by enabling continuous monitoring and extensive data collection. To maximize the benefits of wearable technology for healthcare applications, it is very crucial to continuously develop sensor technology, enhance data integration, and establish robust regulatory frameworks.

Place, publisher, year, edition, pages
Elsevier, 2025. Vol. 505, article id 159478
Keywords [en]
Advancements, Artificial Intelligence, COVID-19, Healthcare, Wearable sensors, Electronic health record, Risk analysis, Advancement, Early warning, Health issues, Health parameters, Physiological data, Prospectives, Risk factors, Technological breakthroughs, Wearable devices
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-69837DOI: 10.1016/j.cej.2025.159478Scopus ID: 2-s2.0-85214797377OAI: oai:DiVA.org:mdh-69837DiVA, id: diva2:1930849
Note

Review; Export Date: 22 January 2025; Cited By: 0; Correspondence Address: U. Amara; School of Materials Science and Engineering, Anhui University, Hefei, 230601, China; email: 23722@ahu.edu.cn; CODEN: CMEJA

Available from: 2025-01-24 Created: 2025-01-24 Last updated: 2025-01-24Bibliographically approved

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Abdullah, Saad

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