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Artificial Intelligence in Medicine and Healthcare

Edited by Ajay Kumar, Edited by Sangeeta Rani, Edited by Sarita Rathee, Edited by Naveen Hemrajani, Edited by Mamta Dahiya





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| book description |

This book is discussing artificial intelligence-based smart systems for diagnosis and prediction of diseases, artificial intelligence in clinical decision-making, and artificial intelligence tools for clinical and healthcare data. It further highlights the importance of 5G and 6G communication for telemedicine applications and applications of machine learning and deep learning in pandemic epidemiology. This book: Discusses artificial intelligence-inspired Internet of Things-based solutions, and machine learning modeling for smart healthcare. Explains the use of computer vision, natural language processing in healthcare, and artificial intelligence in clinical decision-making. Illustrates the role of artificial intelligence in telemedicine applications. Examines medical image analysis using machine learning, and deep learning techniques. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including computer science and engineering, electronics and communications engineering, and biomedical engineering.

| product details |



Normally shipped | Enquiries only
Publisher | Taylor & Francis Ltd
Published date | 27 Feb 2025
Language |
Format | Digital (delivered electronically)
Pages | 264
Dimensions | 0 x 0 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-0403-0037-4
Readership Age |
BISAC | technology / electricity


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