In Print: ‘Application of Generative AI in Healthcare Systems’

Publication title

Application of Generative AI in Healthcare Systems

Purdue author

Miad Faezipour

Authors

Azadeh Zamanifar

Miad Faezipour

Publisher

Springer Cham

Publication date

February 2025

About the book (from the publisher)

Generative AI has immensely influenced various fields, such as education, marketing, art and music, and especially health care. Generative AI can benefit the patient through various approaches. For instance, it can enhance the image qualities negatively affected by radiation reduction, preventing patients from needing to repeat the image-taking process. Also, the generation of one type of image from another more expensive one can help patients save money. Generative AI facilitates the administrative process, letting the doctor focus more on the treatment process. It even goes further by helping medical professionals with diagnosis and decision-making, suggesting possible treatment plans according to the patient symptoms.

This book introduces several practical generative AI health care applications, especially in medical imaging, pandemic prediction, synthetic data generation, clinical administration support, professional education, patient engagement and clinical decision support, providing a review of efficient generative AI tools and frameworks in this area. Generative AI empowers the treatment process through several methods; however, some ethical, privacy and security challenges require attention. Despite the challenges presented, generative AI technological and inherited characteristics smooth the path of improvement for it in the future.

About the Purdue author

Miad Faezipour is an associate professor of electrical and computer engineering technology in Purdue Polytechnic Institute’s School of Engineering Technology. 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 laboratory. Her research primarily focuses on health care technology with embedded intelligence, digital/biomedical embedded hardware/software co-designs, biomedical signal/image processing, computer vision, health care/biomedical informatics, artificial intelligence and AI-based bio-data augmentation.

About the In Print series

To celebrate our faculty’s excellence in scholarship, Purdue Today’s weekly book series highlights faculty expertise across diverse subjects and disciplines. Find out 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.