Artificial Intelligence and IoT Implementations for Remote Dentalcare Information Systems
Keywords:
Internet of Things, Artificial Intelligence, Machine Learning, Dentalcare Systems, Healthcare Systems, Smart CityAbstract
The Internet of Things (IoT) and the Artificial Intelligence (AI) are two technologies growing faster than all other technologies in the world. The transformation of the healthcare sector by increasing its efficiency, lowering costs, and putting the focus back on a better patient care system, is one of the main columns of the smart city idea.
Dentalcare is one of the main sectors of the healthcare system. The IoT and AI implementation in dentalcare systems requires a deep understanding of different frameworks in smart cities. These frameworks include the integration of technologies, devices, systems, models, designs, use cases, and applications. The IoT-based dentalcare system mainly employs both AI and machine learning (ML) by gathering different records and datasets. The technology used helps to support dentalcare applications and analyse activities. This paper provides a survey that focuses on the identification of health Internet of Things (H-IoT) and health Artificial Intelligence (H-AI) applications, with focus in dentalcare, supported by smart city infrastructure. Finally, this research contributes to scientific knowledge by highlighting the main limitations of the topic and recommending possible future opportunities in this research area.
References
Areej A. Malibari. (2023). An efficient IoT-Artificial intelligence-based disease prediction using lightweight CNN in healthcare system. Measurement: Sensors: www.sciencedirect.com/journal/measurement-sensors
Sushruta Mishra, Hiren Kumar Thakkar, Pradeep Kumar Mallick, Prayag Tiwari, Atif Alamri. (2021). A sustainable IoHT based computationally intelligent healthcare monitoring system for lung cancer risk detection Sustainable Cities and Society: www.elsevier.com/locate/scs
Mazin Alshamrani. (2022). IoT and artificial intelligence implementations for remote healthcare monitoring systems: A survey. Journal of King Saud University - Computer and Information Sciences: https://www.sciencedirect.com/journal/journal-of-king-saud-university-computer-and-information-sciences
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