A Systematic Review of Wearable Patient Monitoring Systems – Current Challenges and Opportunities for Clinical Adoption
By Mirza Mansoor Baig, Hamid Gholamhosseini, Aasia A. Moqeem, Farhaan Mirza, M. Lindén. Journal of medical systems, 2017
304 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, General Health Professions
View Paper: https://www.semanticscholar.org/paper/9822037b937c8bdf5c0b4641f14f6bc9b31417a6
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In Biomedical Engineering
Citations in the corpus
- The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review (2023, methodology): “The rising prevalence of chronic diseases, such as diabetes, heart disease, and cancer, coupled with an aging population, has increased the need for remote and continuous health monitoring [4–7].”
- Wearable Health Technology and Electronic Health Record Integration: Scoping Review and Future Directions (2019, unknown): “Although machine learning and artificial intelligence (AI) algorithms are potential solutions to this issue, current algorithms are often tested in fixed conditions that are not likely to hold up in live scenarios [35].”
- A Review of the Role of Artificial Intelligence in Healthcare (2023, background): “[73] noted that the advancement of wearable technology and the potential of using ML and AI in healthcare is an idea that has already been explored.”
- Ethical and regulatory challenges of AI technologies in healthcare: A narrative review (2024, background): “This approach leverages sensors and communication technologies, simplifying the process of remotely collecting and evaluating health data, and empowering patients to take control of their health [48,49].”