Smart Healthcare Systems Using IoE and AI

Smart Healthcare Systems Using IoE and AI

Pritam Lanjewar (Datta Meghe Institute of Management Studies, India), Mani Bansal (Jawaharlal Nehru University, India), Nayela Sayeed (RVM Institute of Medical Sciences and Research Centre, India), Manesh R. Palav (Global Business School and Research Centre, India), L. Priya (Sri Eshwar College of Engineering, India), S. Vasuki (M. Kumaraswamy College of Engineering, India), and A. S. Hovan George (Tbilisi State Medical University, Georgia)
DOI: 10.4018/979-8-3373-1032-9.ch030
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Abstract

Artificial intelligence (AI) has emerged as a game-changing result in the field of ultramodern healthcare. The Internet of Everything makes it possible to integrate various biases and data sources in a seamless manner, which in turn enables real-time monitoring and analysis of patient health considerations. Through the provision of timely perceptivity into case situations, the optimization of treatment plans, and the perfection of general healthcare difficulties, this integration improves the efficiency with which healthcare is delivered. In a coincidental turn of events, artificial intelligence techniques such as machine literacy and prophetic analytics enable these systems to recognize patterns within enormous datasets, anticipate potential health risks, and provide the best possible care for patients. Within the context of intelligent healthcare systems, investigates the synergistic operation of the Internet of Everything (IoE) and artificial intelligence (AI), examining their technological foundations, barriers to perpetration, and prospective operations in clinical contexts.
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