Miad Faezipour, associate professor of electrical and computer engineering technology, and his published book “Application of Generative AI in Healthcare Systems.”
Publication title
Application of Generative AI in Healthcare Systems
Author Purdue
Authors
Azadeh Zamanifar
Miad Faezipour
Editor
Springer Cham
Publication date
February 2025
About the book (from the publisher)
Generative AI has hugely influenced various fields, such as education, marketing, art and music, and especially healthcare. Generative AI can benefit the patient through various approaches. For example, it can improve image qualities negatively affected by reduced radiation, saving patients from having to repeat the imaging process. Additionally, generating one type of image from a more expensive one can help patients save money. Generative AI facilitates the administrative process, allowing the doctor to focus more on the treatment process. It goes even further by helping healthcare professionals with diagnosis and decision-making, suggesting possible treatment plans based on the patient’s symptoms.
This book presents several practical applications of generative AI in healthcare, particularly in the areas of medical imaging, pandemic prediction, synthetic data generation, clinical administration support, professional education, patient engagement, and clinical decision support, providing a review of effective generative AI tools and frameworks in this area. Generative AI strengthens the treatment process through several methods; however, there are ethical, privacy, and security challenges that require special attention. Despite the challenges presented, the technological and legacy characteristics of generative AI facilitate the path to its improvement in the future.
About the Purdue author
Miad Faezipour is an associate professor of electrical and computer engineering technology in the School of Engineering Technology at Purdue Polytechnic Institute. She is a full member of the Regenstrief Center for Healthcare Engineering and a core faculty member of the Applied AI Research Center at Purdue, as well as the founder and director of the Digital/Biomedical Embedded Systems and Technology (D-BEST) Research Lab. His research mainly focuses on healthcare technology with embedded intelligence, integrated digital/biomedical hardware/software co-design, biomedical signal/image processing, computer vision, healthcare/biomedical informatics, artificial intelligence, and AI-based biological data augmentation.
About the In Print Series
To celebrate our faculty’s excellence in scholarship, Purdue Today’s weekly book series highlights faculty expertise in diverse topics and disciplines. Learn more about the Purdue University Books Initiative and how to suggest a book for the In Print series on the Office of the Provost website.