Application of Generative AI in Healthcare Systems

Author:   Azadeh Zamanifar ,  Miad Faezipour
Publisher:   Springer International Publishing AG
ISBN:  

9783031829659


Pages:   211
Publication Date:   26 February 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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Application of Generative AI in Healthcare Systems


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Author:   Azadeh Zamanifar ,  Miad Faezipour
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031829659


ISBN 10:   3031829654
Pages:   211
Publication Date:   26 February 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Generative AI in Medical Imaging.- Generative AI in Pandemic Prediction.- Application of GenAI in Synthetic Data Generation in the healthcare system.- Application of GenAI in Clinical Administration Support.- Application of Generative AI in Patient Engagement.- Application of Generative AI in Drug discovery.- Application of Generative AI in Resource Optimization in Healthcare Systems.- Ethics and Regulations in Generative AI.

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Author Information

Dr. Azadeh Zamanifar is currently head of AI/ software department and an assistant professor of Islamic Azad university, science and research branch. Her research interests include IoT based health care systems, machine learning, deep learning, and distributed systems. She received B.SC in Tehran university in 2002. She received her M.SC from Iran university of science and technology in 2008. She received her Ph.D. from Shahid Beheshti university in December 2016. Dr. Miad Faezipour  is currently an Associate Professor of Electrical and Computer Engineering Technology with the School of Engineering Technology, Purdue University, West Lafayette, IN, USA. She is the Founding Director of the Digital/Biomedical Embedded Systems and Technology (D-BEST) Research Laboratory. She is also jointly appointed with the Regenstrief Center for Healthcare Engineering (RCHE), and a core faculty member of the Applied AI Research Center (AARC) at Purdue University. Her research interests include healthcare technology with embedded intelligence, digital/biomedical embedded hardware/software co-designs, biomedical signal/image processing, computer vision, healthcare/biomedical informatics, artificial intelligence, and AI-based bio-data augmentation. She is a Senior Member of IEEE, Engineering in Medicine and Biology Society (EMBS), and the IEEE Women in Engineering.

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