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AI in Wearable Imaging Devices

AI in Wearable Imaging Devices
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Author(s): Adebayo Paul Olujide (University of Ilorin, Nigeria), Aremu Issa Babatunde (University of Ilorin, Nigeria)and Ayinde Junaid Babatunde (Evercare Hospital Lekki, Nigeria)
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.ch006

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Abstract

AI and wearable imaging devices are technologies changing real-time diagnostics, especially remote patient monitoring. This chapter explores AI's role in wearable imaging by highlighting its potential to enhance healthcare through greater accuracy, efficiency, and accessibility. It begins by examining wearable imaging applications in radiology and emphasizing their role in early disease detection. It delves into AI-driven advancement by improving image quality and diagnostic precision of ultrasound and MRI. Vital applications discussed include heart health monitoring, brain disorder assessment, and sports injury evaluation. AI's ability to analyze data, identify patterns, and predict health risks is also discussed. Additionally, the chapter covers device miniaturization, portability, and battery efficiency. Real-world examples illustrate AI's impact while challenges such as privacy, ethics, and regulatory concerns are addressed. Finally, the chapter looks ahead to AI's integration with telemedicine and emerging device innovations.

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