AI and machine learning applications in wearable health devices
Year: 2024
Type: article
Abstract: By enabling real-time monitoring, early diagnosis, and tailored therapies, wearable health technology combining artificial intelligence and machine learning has transformed healthcare. Wearables combine Internet of Things (IoT), cloud computing, and artificial intelligence (AI) using algorithms to monitor vital signs, including heart rate, blood glucose levels, and oxygen saturation. This enables predictive insights into health conditions, maximizes therapies, and supports remote healthcare options. Even if their potential use is rather high, data privacy, model generalization, regulatory validation, and accessibility remain issues. Generative artificial intelligence and federated learning both help privacy and performance. Predictive modeling, AR/VR, and blockchain technology will drive wearable health devices forward. Artificial intelligence-powered wearables impact world health since they provide competitively priced, scalable solutions for poor populations. By means of overcoming obstacles, multidisciplinary teamwork provides fair, safe, and changing healthcare service.
Source: Wearable Technology
DOI: 10.54517/wt3123
Authors: Muhammad Nadir Shabbir, Duong Thuy Linh
Institutions: Renmin University of China, National Economics University
Language: English
Topic: Internet of Things and AI
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407925994