Artificial intelligence?powered electrochemical sensor: Recent advances, challenges, and prospects
Integrating 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 bi...
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Elsevier Ltd
2025
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| author | Nashruddin S.N.A.B.M. Salleh F.H.M. Yunus R.M. Zaman H.B. |
| author2 | 57250413900 |
| author_facet | 57250413900 Nashruddin S.N.A.B.M. Salleh F.H.M. Yunus R.M. Zaman H.B. |
| author_sort | Nashruddin S.N.A.B.M. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Integrating 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. ? 2024 |
| format | Review |
| id | my.uniten.dspace-36360 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Elsevier Ltd |
| record_format | dspace |
| spelling | my.uniten.dspace-363602025-03-03T15:42:04Z Artificial intelligence?powered electrochemical sensor: Recent advances, challenges, and prospects Nashruddin S.N.A.B.M. Salleh F.H.M. Yunus R.M. Zaman H.B. 57250413900 26423229000 57188622632 57226220128 Integrating 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. ? 2024 Final 2025-03-03T07:42:04Z 2025-03-03T07:42:04Z 2024 Review 10.1016/j.heliyon.2024.e37964 2-s2.0-85204054749 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204054749&doi=10.1016%2fj.heliyon.2024.e37964&partnerID=40&md5=4f0f276b97a21a9d7ed32dbe4ea82bf7 https://irepository.uniten.edu.my/handle/123456789/36360 10 18 e37964 All Open Access; Gold Open Access Elsevier Ltd Scopus |
| spellingShingle | Nashruddin S.N.A.B.M. Salleh F.H.M. Yunus R.M. Zaman H.B. Artificial intelligence?powered electrochemical sensor: Recent advances, challenges, and prospects |
| title | Artificial intelligence?powered electrochemical sensor: Recent advances, challenges, and prospects |
| title_full | Artificial intelligence?powered electrochemical sensor: Recent advances, challenges, and prospects |
| title_fullStr | Artificial intelligence?powered electrochemical sensor: Recent advances, challenges, and prospects |
| title_full_unstemmed | Artificial intelligence?powered electrochemical sensor: Recent advances, challenges, and prospects |
| title_short | Artificial intelligence?powered electrochemical sensor: Recent advances, challenges, and prospects |
| title_sort | artificial intelligence?powered electrochemical sensor: recent advances, challenges, and prospects |
| url_provider | http://dspace.uniten.edu.my/ |