Smart City Gnosys
Smart city article details
| Title | Iot And Artificial Intelligence Implementations For Remote Healthcare Monitoring Systems: A Survey |
|---|---|
| ID_Doc | 33584 |
| Authors | Alshamrani M. |
| Year | 2022 |
| Published | Journal of King Saud University - Computer and Information Sciences, 34, 8 |
| DOI | http://dx.doi.org/10.1016/j.jksuci.2021.06.005 |
| Abstract | The Internet of Things (IoT) and artificial intelligence (AI) are two of the fastest-growing technologies in the world. With more people moving to cities, the concept of a smart city is not foreign. The idea of a smart city is based on transforming the healthcare sector by increasing its efficiency, lowering costs, and putting the focus back on a better patient care system. Implementing IoT and AI for remote healthcare monitoring (RHM) systems requires a deep understanding of different frameworks in smart cities. These frameworks occur in the form of underlying technologies, devices, systems, models, designs, use cases, and applications. The IoT-based RHM system mainly employs both AI and machine learning (ML) by gathering different records and datasets. On the other hand, ML methods are broadly used to create analytic representations and are incorporated into clinical decision support systems and diverse healthcare service forms. After carefully examining each factor in clinical decision support systems, a unique treatment, lifestyle advice, and care strategy are proposed to patients. The technology used helps to support healthcare applications and analyze activities, body temperature, heart rate, blood glucose, etcetera. Keeping this in mind, this paper provides a survey that focuses on the identification of the most relevant health Internet of things (H-IoT) applications supported by smart city infrastructure. This study also evaluates related technologies and systems for RHM services by understanding the most pertinent monitoring applications based on several models with different corresponding IoT-based sensors. Finally, this research contributes to scientific knowledge by highlighting the main limitations of the topic and recommending possible opportunities in this research area. © 2021 The Author |
| Author Keywords | H-IoT; Healthcare; Machine learning; Monitoring systems; RHM |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
45018  | 0.964 | Kheta L.; Lakshita; Choudhuri N.G.; Nasra P.; Ahmed S. | Remote Patient Monitoring Using The Internet Of Things And Artificial Intelligence: A Study | 2023 7th International Conference On Computing, Communication, Control And Automation, ICCUBEA 2023 (2023) |
| 51003 | 0.952 | Philip J.; Gandhimathi S.K.; Chalichalamala S.; Karnam B.; Chandanapalli S.B.; Chennupalli S. | Smart Health Monitoring Using Deep Learning And Artificial Intelligence | Revue d'Intelligence Artificielle, 37, 2 (2023) |
| 30570 | 0.929 | Anandaram H.; Gupta D.; Priyadarsini C.I.; Christopher B. | Implementation Of Machine Learning For Smart Wearables In The Healthcare Sector | Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications (2024) |
| 35090 | 0.922 | Satyanarayana K.; Lovelin J.P.; Sreedevi V.; Putchala G.; Latha Y.L.M.; Katta S. | Leveraging Iot And Ai Technologies For Real-Time Remote Patient Monitoring Innovations In Healthcare Delivery And Outcomes | Proceedings of the 2024 International Conference on Artificial Intelligence and Emerging Technology, Global AI Summit 2024 (2024) |
| 28845 | 0.907 | Shafik W. | Healthcare And Its Applications In A Smart City | Healthcare-Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities (2024) |
| 8311 | 0.902 | Ray S.S.; Tripathy N.; Tripathy S.S.; Gheisari M. | An In-Depth Analysis Of Machine Learning And Artificial Intelligence Advancements In Healthcare For Smart Cities | Healthcare-Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities (2024) |
| 15335 | 0.898 | Rath S.K.; Sahu M.; Das S.P. | Comprehensive Survey Of Iot, Machine Learning, And Reliability Engineering For Healthcare Applications | Healthcare-Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities (2024) |
| 6905 | 0.896 | Khang A. | Ai And Iot Technology And Applications For Smart Healthcare Systems | AI and IoT Technology and Applications for Smart Healthcare Systems (2024) |
| 34033 | 0.896 | Andrade A.; Cabral A.T.; Bellini B.; Facco Rodrigues V.; da Rosa Righi R.; André da Costa C.; Barbosa J.L.V. | Iot-Based Vital Sign Monitoring: A Literature Review | Smart Health, 32 (2024) |
| 32866 | 0.89 | Mishra P.; Singh G. | Internet Of Medical Things Healthcare For Sustainable Smart Cities: Current Status And Future Prospects | Applied Sciences (Switzerland), 13, 15 (2023) |