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Artificial intelligence for health 4.0 : challenges and applications

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자료유형E-Book
개인저자Malviya, Rishabha, editor.
Chilamkurti, Naveen, 1974-, editor.
Sundram, Sonali, editor.
Dhanaraj, Rajesh Kumar, editor.
Balusamy, Balamurugan, editor.
서명/저자사항Artificial intelligence for health 4.0 :challenges and applications.
형태사항1 online resource
총서사항River Publishers series in biotechnology and medical research
소장본 주기WorldCat record variable field(s) change: 050
ISBN9781000847024
1000847020
9781003373582
1003373585
9781000847017
1000847012


기타표준부호10.1201/9781003373582doi
요약Healthcare 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.
일반주제명Artificial intelligence -- Medical applications.
MEDICAL / Diagnosis
Artificial intelligence -- Medical applications.
언어영어
기타형태 저록Print version:87702278459788770227841
대출바로가기https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3530773

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