Artificial Intelligence for Health 4.0: Challenges and Applications


Artificial Intelligence for Health 4.0: Challenges and Applications 1st Edition
by Rishabha Malviya (Editor), Naveen Chilamkurti (Editor), Sonali Sundram (Editor), Rajesh Kumar Dhanaraj (Editor), Balamurugan Balusamy (Editor)
Publisher Finelybook 出版社: River Publishers; 1st edition (March 10, 2023)
Language 语言: English
pages 页数: 390 pages
ISBN-10 书号: 8770227845
ISBN-13 书号: 9788770227841


Book Description
Healthcare is one of the major success stories of our times. Medical science has improved rapidly, raising life expectancy around the world. However, as longevity increases, healthcare systems face growing demands for their services, rising costs, and a workforce that is struggling to meet the needs of its patients. Healthcare is one of the most critical sectors in the broader landscape of big data because of its fundamental role in a productive, thriving society. Building on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above. The application of AI to healthcare data can literally be a matter of life and death. AI can assist doctors, nurses, and other healthcare workers in their daily work. AI in healthcare can enhance preventive care and quality of life, produce more accurate diagnoses and treatment plans, and lead to better patient outcomes overall. This book gives insights into the latest developments of applications of AI in biomedicine, including disease diagnostics, pharmaceutical processing, patient care and monitoring, biomedical information, and biomedical research. It also presents an outline of the recent breakthroughs in the application of AI in healthcare, describes a roadmap to building effective, reliable, and safe AI systems, and discusses the possible future direction of AI augmented healthcare systems. AI has countless applications in healthcare. Whether it’s being used to discover links between genetic codes, to power surgical robots or even to maximize hospital efficiency; AI has been a boon to the healthcare industry.

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