Artificial Intelligence Applications in Emerging Healthcare Technologies

Miguel Antonio Wister Ovando, Juana Canul-Reich, Lil María Rodríguez Henríquez (Herausgeber)

Buch | Softcover

400 Seiten

2026
Academic Press Inc (Verlag)
978-0-443-33496-2 (ISBN)

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Artificial Intelligence Applications in Emerging Healthcare Technologies presents the latest advances and state-of-the-art methods and applications of computer science and emerging AI technologies in health and medicine. It explores the impact of artificial intelligence (AI) in healthcare for medical decision-making and data analysis, tackling topics such as cloud computing, cybersecurity, the internet of things, natural language processing, virtual health, data science applied to healthcare, personalized medicine, imaging, diagnosis, drug discovery, and diseases, among others. It is a great resource for researchers and students to learn how machine learning algorithms and other data science techniques have been implemented to solve healthcare-related problems. Chapters present adaptations or improvements on previous models and algorithms to process data from different sources. Other chapters investigate new formulations for the optimization of known procedures and algorithms. Finally, all chapters use experimental methods to study problems of interest in healthcare.

Miguel A. Wister received his Ph.D. in Information Technology and Communications Engineering from the University of Murcia, Spain (2008). He earned an MSc in Informatics Technology at the Monterrey Institute of Technology and Higher Education (ITESM), Mexico, (1997), and a BSc degree in Informatics at the Juarez Autonomous University of Tabasco (UJAT), Mexico, (1993). He has tutored over 40 BSc and MSc students. Dr. Wister has also authored and co-authored about 20 scientific papers published in peer-reviewed conferences and journals. He is the editor and co-author of the book Intelligent Data Sensing and Processing for Health and Well-being Applications (Editorial Academic Press, ELSEVIER). He is also associate editor in two Journals: 1. Internet of Things Engineering Cyber Physical Human Systems; 2. International Journal of Grid and Utility Computing. His research interests are ubiquitous computing, focusing on ambient intelligence and the Internet of Things. viewed conferences and journals. Juana Canul-Reich holds a PhD in Computer Science and Engineering from the University of South Florida with a major in Data mining. She is currently a Professor-Researcher in the Academic Division of Sciences and Information Technologies at UJAT where she has tutored over 7 PhD thesis, 6 Msc thesis, and 15 BSc thesis. PhD Canul-Reich has also authored and co-authored over 30 scientific papers published in peer-reviewed conferences and journals. She is a level-2 member of the National Research System of CONAHCYT. She actively participates as a referee for both national and international scientific journals in the fields of machine learning or computational science. She has also been responsible for research projects funded by PRODEP and CONAHCYT. Her research interests focus mainly on Data Science and Artificial Intelligence applied to the health area. Lil María Rodríguez Henríquez. Her research interests are ubiquitous computing, focusing on distributed systems, Cryptography and Security. Received her Ph.D. degree from the Centro de Investigación y Estudios Avanzados of the IPN, in 2015. She is currently a CONAHCYT Research Fellow with the National Institute of Astrophysics, Optics and Electronics (INAOE). Her recent work involves security on databases, partial order algorithms. She has tutored over 2 PhD thesis, 7 Msc thesis, and 4 BSc thesis at INAOE. PhD Rodríguez has also authored and co-authored about 15 scientific papers published in peer-reviewed conferences and journals.

1. Introduction to Healthcare 4.0
2. Cybersecurity in Healthcare 4.0
3. Applications of Internet of Things in Healthcare 4.0
4. Application of Explainable Artificial Intelligence for Healthcare 4.0
5. Natural Language Processing in Healthcare 4.0
6. Virtual Health
7. Cloud Computing for Healthcare 4.0
8. Data Science in Epidemiology
9. Artificial Intelligence in Detection and Diagnosis of Diseases
10. Computational Drug Discovery
11. Artificial Intelligence Applications for Personalized Medicine
12. Artificial Intelligence Techniques in Imaging

Erscheint lt. Verlag	1.7.2026
Verlagsort	San Diego
Sprache	englisch
Maße	191 x 235 mm
Gewicht	450 g
Themenwelt	Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Sprachwissenschaft
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
	Technik ► Medizintechnik
ISBN-10	0-443-33496-X / 044333496X
ISBN-13	978-0-443-33496-2 / 9780443334962
Zustand	Neuware