Artificial Intelligence Innovations for Biomedical Engineering and Healthcare - Brossura

Y Alanis

Brossura

ISBN 10: 0443328560 ISBN 13: 9780443328565

Casa editrice: Academic Press, 2025

Riassunto

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.

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Informazioni sugli autori

Dr. Alma Y. Alanis received her M.Sc. and Ph.D. degrees in electrical engineering from the Advanced Studies and Research Center of the National Polytechnic Institute (CINVESTAV-IPN), Guadalajara, Mexico. Since 2008 she has been with University of Guadalajara, where she is currently a Dean of the Technologies for Cyber-Human Interaction Division, CUCEI. She is also member of the Mexican National Research System (SNI-2) and member of the Mexican Academy of Sciences. She has published papers in recognized International Journals and Conferences, besides eight international books. Dr. Alanis is a Senior Member of the IEEE and Subject Editor of the Journal of Franklin Institute, Section Editor at Open Franklin, Technical Editor at ASME/IEEE Transactions on Mechatronics, and Associate Editor at IEEE Transactions on Cybernetics, Intelligent Automation & Soft Computing and Engeenering Applications of Artifical Intelligence. Moreover, Dr. Alanis is currently serving on a number of IEEE and IFAC Conference Organizing Committees. In 2013 Dr. Alanis received the grant for women in science by L'Oreal-UNESCO-AMC-CONACYT-CONALMEX. In 2015, she received the Marcos Moshinsky Research Award. Her research interest centers on artificial neural networks, learning systems, intelligent control, and intelligent systems.

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.

Rosa Garcia holds a master's degree in Business and Economic Studies from the University of Guadalajara in Mexico, backed by 15 years of experience in research, sectoral studies, and business intelligence. In her role as a consultant, she has partnered with diverse companies spanning the medical device, services, and commerce sectors, catering to a clientele that includes business organizations, companies, entrepreneurs, and government entities. Contributing as both an author and co-author to five books and serving as a research assistant for two more, Rosa's expertise extends to methodologies for business incubation and the Technology Project Evaluation Methodology of the Medical Device Innovation Centre.

Currently, she collaborates with the Technological Observatory of Jalisco, focusing on technological vigilance and business intelligence activities. Rosa provides consulting, training, and monitoring services to the medical devices sector, working with clients such as the Biomedical Engineering Cluster of Jalisco and the Mexican Pharmaceutical Association. Additionally, she is an integral part of the IDITpyme and Hospital Pyme consulting network.

Dalla quarta di copertina

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. The book goes on to examine how advanced technologies, including complex networks and AI-driven diagnostics, are reshaping the healthcare landscape. It simplifies the relationship between artificial intelligence and biomedical engineering, elucidating how these technologies are revolutionizing self-care. 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.

Dettagli dell'edizione

• Editore: Academic Press
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 0443328560
• ISBN 13: 9780443328565
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 170
• Contatto del produttore: Academic Press; https://shop.elsevier.com/; ; 230 PARK AVENUE, SUITE 800; NY; NY; 10169; U.S.A.
• Persona responsabile: non disponibile