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Adaptive Devices for Artificial Intelligence of Medical Things
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Author(s): T. Venkat Narayana Rao (Sreenidhi Institute of Science and Technology, India), Mohammed Kashif (Sreenidhi Institute of Science and Technology, India), T. Thukaram Goud (Sreenidhi Institute of Science and Technology, India)and P. Sravan Kumar (Sreenidhi Institute of Science and Technology, India)
Copyright: 2026
Pages: 36
Source title:
Radiodiagnosis in the Era of AI
Source Author(s)/Editor(s): Praveen Kumar (Datta Meghe Institute of Higher Education and Research, Wardha, India), Prateek Verma (Dayananda Sagar University, Bangalore, India), Gaurav Vedprakash Mishra (Datta Meghe Institute of Higher Education and Research, Wardha, India), Gopal Singh Phartiyal (University of Leeds, UK)and Anurag Ashok Luharia (Datta Meghe Institute of Higher Education and Research, Wardha, India)
DOI: 10.4018/979-8-3373-0903-3.ch005
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Abstract
Adaptive devices and Artificial intelligence in the realm of medical field have become crucial for enhancing healthcare delivery and patient outcomes. As the virus are evolving with time, it is necessary for our current healthcare system to evolve with it as well. Utilizing artificial intelligence paired with advanced machine learning algorithms incorporated inside a device which can adapt itself based on the instructions from AI might be our best chance to counteract limitations of our current healthcare system. Through Artificial Intelligence of Medical Things (AIoMT) hope to achieve new heights of healthcare systems which significantly. Adaptive devices include advanced health tracking wearables that track vital signs of the patients which can be used as input for the algorithm. However, many several challenges persist, including data security concerns, reliability of algorithm, limitations of hardware and more importantly integrating it with public domain. This chapter would explore many possible and most efficient solutions to the problems regarding AIoMT
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