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Artificial Intelligence Based on IoT for Healthcare
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Author(s): Supriya M. S. (Ramaiah University of Applied Sciences, India), Vismaya K. J. (Ramaiah University of Applied Sciences, India), Ramya B. N. (Ramaiah University of Applied Sciences, India)and Nikil Kumar P. (Torry Harris Business Solutions, India)
Copyright: 2022
Pages: 22
Source title:
AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management
Source Author(s)/Editor(s): Sandeep Kumar Kautish (Chandigarh University, Mohali, India)and Gaurav Dhiman (Government Bikram College of Commerce, India & Lebanese American University, Lebanon)
DOI: 10.4018/978-1-6684-4405-4.ch003
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Abstract
In fields like healthcare, where human intelligence is critical, the introduction of new AI-powered applications is becoming increasingly popular. Technologies have reduced expenses, accelerated drug research, and improved wellness outcomes. AI has become increasingly cognizant of its potential to disrupt the business, as seen by growing funding for the sector in recent years from important stakeholders in both healthcare and risk capital. Traditional approaches include human participation and direct interaction with patients, which are now obsolete due to the advancement of technologies such as messaging bots and intelligent virtual assistants. On the other hand, the internet of things (IoT) is making significant contributions to healthcare, and its gadgets may collect complete health data. Machine intelligence collects and analyses data in established protocols in search of possible health-related predictions. The chapter delves into the aspects of combining AI and IoT to improve efficiency in healthcare systems.
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