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AI-Powered Secure Bio-Medical Image Analysis
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Author(s): Shaik Balkhis Banu (Department of Physiotherapy, Fatima College of Health Sciences, Al Ain, UAE), Geetha Kathirvelu (Independent Researcher, Oman), S. Meena (Department of Chemistry, Dayanandasagar College of Engineering, Bangalore, India), Devanga Dharani Lakshmi (Department of Computer Science and AI, Central University of Andhra Pradesh, Ananthapuramu, India), T. Keerthika (School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India), Anantha Murthy (NMAM, Institute of Technology, Nitte University, India)and A. S. Hovan George (Tbilisi State Medical University, Georgia)
Copyright: 2025
Pages: 22
Source title:
Advanced Secure Transmission of Telemedicine-Based Bio-Medical Images
Source Author(s)/Editor(s): Binay Kumar Pandey (Department of Information Technology, College of Technology, Govind Ballabh Pant University of Agriculture and Technology, India), A. Shaji George (TSM, Almarai Company, Saudi Arabia), Sameer Tiwari (George Mason University, USA), Salah A. Albermany (Kufa University, Iraq)and Ho Sy Hung (Hong Duc University, Vietnam)
DOI: 10.4018/979-8-3693-9821-0.ch003
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Abstract
Artificial intelligence (AI) is revolutionizing the field of medical image analysis, highlighting the vital need of strong security protocols to safeguard private patient information. The use of cutting-edge analytical tools improves the precision and effectiveness of medical imaging, enabling earlier diagnoses and better treatment outcomes as healthcare increasingly uses AI-driven technologies. But using a lot of patient data creates serious privacy issues, so data protection needs to be prioritized. Differential privacy, federated learning, and secure multi-party computation are three important approaches that are covered. These techniques enable collaborative analysis without disclosing raw data.
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