{"title":"Role of artificial intelligence in health monitoring using IoT based wearable sensors: A survey","authors":"Laxmi Shaw, Hardik A. Gohel","doi":"10.1016/j.iot.2025.101761","DOIUrl":null,"url":null,"abstract":"<div><div>With the rising demand for rapid and accurate medical diagnosis and the widespread adoption of Internet of Things (IoT) technologies, healthcare delivery is undergoing a major transformation in patient monitoring, diagnosis, and prognosis. The growth of virtual healthcare providers and remote consultations further increases the need for efficient systems that can process large volumes of real-time health data. In this context, integrating artificial intelligence (AI) with IoT-based healthcare systems plays an essential role in enabling predictive analytics, early anomaly detection, and real-time clinical decision-making. This paper examines the role of AI in enhancing the performance of IoT-enabled wearable health monitoring devices, with a focus on data transmission efficiency, energy consumption, communication protocols, and overall system reliability. Our analysis highlights that AI integration significantly improves accuracy, adaptability, and patient-centric outcomes. The paper concludes by outlining the current challenges such as energy limitations, data privacy, and interoperability and discusses future research directions for developing next-generation IoT-based wearable healthcare systems.</div></div>","PeriodicalId":29968,"journal":{"name":"Internet of Things","volume":"34 ","pages":"Article 101761"},"PeriodicalIF":7.6000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet of Things","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2542660525002744","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
With the rising demand for rapid and accurate medical diagnosis and the widespread adoption of Internet of Things (IoT) technologies, healthcare delivery is undergoing a major transformation in patient monitoring, diagnosis, and prognosis. The growth of virtual healthcare providers and remote consultations further increases the need for efficient systems that can process large volumes of real-time health data. In this context, integrating artificial intelligence (AI) with IoT-based healthcare systems plays an essential role in enabling predictive analytics, early anomaly detection, and real-time clinical decision-making. This paper examines the role of AI in enhancing the performance of IoT-enabled wearable health monitoring devices, with a focus on data transmission efficiency, energy consumption, communication protocols, and overall system reliability. Our analysis highlights that AI integration significantly improves accuracy, adaptability, and patient-centric outcomes. The paper concludes by outlining the current challenges such as energy limitations, data privacy, and interoperability and discusses future research directions for developing next-generation IoT-based wearable healthcare systems.
期刊介绍:
Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT.
The journal will place a high priority on timely publication, and provide a home for high quality.
Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.