Wow! eBook
Artificial Intelligence in Medicine and Healthcare
by: Ajay Kumar (Editor), Sangeeta Rani (Editor), Sarita Rathee (Editor), Naveen Hemrajani (Editor), Mamta Dahiya (Editor)
Edition: 1st
Publication Date: 2025-03-05
Language: English
Print Length: 214 pages
ISBN-10: 1032832738
ISBN-13: 9781032832739
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 healthcareExplains the use of computer vision, natural language processing in healthcare, and artificial intelligence in clinical decision-makingIllustrates the role of artificial intelligence in telemedicine applicationsExamines medical image analysis using machine learning, and deep learning techniquesIt 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.
Editorial Reviews
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 healthcareExplains the use of computer vision, natural language processing in healthcare, and artificial intelligence in clinical decision-makingIllustrates the role of artificial intelligence in telemedicine applicationsExamines medical image analysis using machine learning, and deep learning techniquesIt 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.
