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Artificial intelligence?powered electrochemical sensor: Recent advances, challenges, and prospects

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dc.citedby6
dc.contributor.authorNashruddin S.N.A.B.M.en_US
dc.contributor.authorSalleh F.H.M.en_US
dc.contributor.authorYunus R.M.en_US
dc.contributor.authorZaman H.B.en_US
dc.contributor.authorid57250413900en_US
dc.contributor.authorid26423229000en_US
dc.contributor.authorid57188622632en_US
dc.contributor.authorid57226220128en_US
dc.date.accessioned2025-03-03T07:42:04Z
dc.date.available2025-03-03T07:42:04Z
dc.date.issued2024
dc.description.abstractIntegrating artificial intelligence (AI) with electrochemical biosensors is revolutionizing medical treatments by enhancing patient data collection and enabling the development of advanced wearable sensors for health, fitness, and environmental monitoring. Electrochemical biosensors, which detect biomarkers through electrochemical processes, are significantly more effective. The integration of artificial intelligence is adept at identifying, categorizing, characterizing, and projecting intricate data patterns. As the Internet of Things (IoT), big data, and big health technologies move from theory to practice, AI-powered biosensors offer significant opportunities for real-time disease detection and personalized healthcare. Still, they also pose challenges such as data privacy, sensor stability, and algorithmic bias. This paper highlights the critical advances in material innovation, biorecognition elements, signal transduction, data processing, and intelligent decision systems necessary for developing next-generation wearable and implantable devices. Despite existing limitations, the integration of AI into biosensor systems shows immense promise for creating future medical devices that can provide early detection and improved patient outcomes, marking a transformative step forward in healthcare technology. ? 2024en_US
dc.description.natureFinalen_US
dc.identifier.ArtNoe37964
dc.identifier.doi10.1016/j.heliyon.2024.e37964
dc.identifier.issue18
dc.identifier.scopus2-s2.0-85204054749
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85204054749&doi=10.1016%2fj.heliyon.2024.e37964&partnerID=40&md5=4f0f276b97a21a9d7ed32dbe4ea82bf7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36360
dc.identifier.volume10
dc.publisherElsevier Ltden_US
dc.relation.ispartofAll Open Access; Gold Open Access
dc.sourceScopus
dc.sourcetitleHeliyon
dc.titleArtificial intelligence?powered electrochemical sensor: Recent advances, challenges, and prospectsen_US
dc.typeReviewen_US
dspace.entity.typePublication
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