Artificial Intelligence Innovations for Biomedical Engineering and Healthcare
Jun 2025 · Academic Press
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220
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About this ebook
Artificial Intelligence Innovations for Biomedical Engineering and Healthcare bridges the evolving domains of artificial intelligence and biomedical engineering and healthcare. In an era where data-driven insights and precision medicine are essential in healthcare, this book explores emerging trends and showcases AI's potential in transforming patient care, diagnosis, and the treatment of chronic diseases. It simplifies the relationship between artificial intelligence and biomedical engineering, elucidating how these technologies are revolutionizing self-care. The book goes on to examine how advanced technologies, including complex networks and AI-driven diagnostics are reshaping the healthcare landscape.From decoding complex networks to revealing AI's role in treating chronic diseases, this book serves as a guide to understanding how innovation is reshaping the healthcare landscape. - Covers topics from basic to advanced applications, ensuring a holistic understanding of AI applications in biomedical engineering and healthcare - Provides a thorough exploration of the integration of AI in biomedical engineering, addressing the information needs of professionals and researchers - Presents real-world case studies and practical examples
Artificial Intelligence Innovations for Biomedical Engineering and Healthcare bridges the evolving domains of artificial intelligence and biomedical engineering and healthcare. In an era where data-driven insights and precision medicine are essential in healthcare, this book explores emerging tre...
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About the author
Alma Y. Alanis received a Ph.D. degree in electrical engineering from the Advanced Studies and Research Center of the National Polytechnic Institute (CINVESTAV-IPN), Guadalajara Campus, Mexico, in 2007. Since 2008, she has been with the University of Guadalajara, where she is currently a Chair Professor in the Department of Computer Science. She is also a member of the Mexican National Research System (SNI-3) and the Mexican Academy of Sciences. She has published papers in recognized international journals and conferences, as well as eight international books. She is a Senior Member of the IEEE and a Subject Editor for the Journal of Franklin Institute (Elsevier), IEEE/ASME Transactions on Mechatronics, IEEE Access, IEEE Latin American Transactions, and Intelligent Automation & Soft Computing. In 2013, she received the grant for women in science by L'Oreal-UNESCO-AMC-CONACYT-CONALMEX. In 2015, she received the Marcos Moshinsky Research Award. Since 2008, she has been a member of the Accredited Assessors record RCEA-CONACYT, evaluating a wide range of national research projects, and has served on important national and international project evaluation committees. Her research interests center on neural control, backstepping control, block control, and their applications to electrical machines, power systems, and robotics.Eduardo Mendez Palos is a Biomedical Engineer with a Master's in Business Administration from the University of Guadalajara. With a background in medical technology management, clinical engineering, and project management, he previously coordinated the Biomedical Engineering program at the CUCEI-UDG. I am founding member and past president of the "Colegio de Ingenieros Biomedicos del Estado de Jalisco A.C. Actively involved in the Mexican Society of Biomedical Engineering, He served as Vice President (2020-2021) and currently lead the Academic and Science Advisory Council. Additionally, he is the founder and president of the Guadalajara chapter of the IEEE Engineering in Medicine and Biology Society. Currently, he works as a Professor in Translational Bioengineering Department.Oscar D. Sanchez is a computer engineer holding degrees from the University of Guadalajara. He earned his B.Sc. in 2011, M.Sc. in 2013, and Ph.D. in 2018. Since 2015, he has been a member of the Computer Department at the University Centre for Exact Sciences and Engineering. His research focuses on system modeling and identification, bioinformatics, optimization, and intelligent systems for prediction. Noteworthy contributions include projects related to sensor failure detection for engine prevention and maintenance, as well as the application of deep neural networks for disease detection, particularly in diabetes mellitus. Currently affiliated with the University of Guadalajara, he is actively involved in diverse research projects, primarily centered around health and motors.
Alma Y. Alanis received a Ph.D. degree in electrical engineering from the Advanced Studies and Research Center of the National Polytechnic Institute (CINVESTAV-IPN), Guadalajara Campus, Mexico, in 2007. Since 2008, she has been with the University of Guadalajara, where she is currently a Chair Pr...
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