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001482791 001__ 1482791
001482791 003__ OCoLC
001482791 005__ 20231128003351.0
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001482791 019__ $$a1406826529
001482791 020__ $$a9789819964727$$qelectronic book
001482791 020__ $$a9819964725$$qelectronic book
001482791 020__ $$z9789819964710
001482791 020__ $$z9819964717
001482791 0247_ $$a10.1007/978-981-99-6472-7$$2doi
001482791 035__ $$aSP(OCoLC)1407114539
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001482791 050_4 $$aR859.7.A78$$bA78 2023
001482791 08204 $$a610.285/63$$223/eng/20231102
001482791 24500 $$aArtificial intelligence and machine learning in healthcare /$$cDharmendra Kumar Yadav, Anamika Gulati, editors.
001482791 264_1 $$aSingapore :$$bSpringer,$$c2023.
001482791 300__ $$a1 online resource (vi, 187 pages) :$$billustrations (some color)
001482791 336__ $$atext$$btxt$$2rdacontent
001482791 337__ $$acomputer$$bc$$2rdamedia
001482791 338__ $$aonline resource$$bcr$$2rdacarrier
001482791 5050_ $$aChapter 1. Impact and Requirement of IoT Devices in Healthcare -- Chapter 2. Technologies and Innovations for Smart Healthcare System in Society 5.0 -- Chapter 3. Artificial Intelligence in Mental Health: An Overview -- Chapter 4. The Role of Internet of Things (IoT) in Healthcare: Applications and Implementation. Chapter 5 -- Artificial Intelligence in Russia's Health Sector: An Analytical Perspective.
001482791 506__ $$aAccess limited to authorized users.
001482791 520__ $$aThis book is about the use of artificial intelligence (AI) and machine learning in healthcare. AI and related technologies are increasingly prevalent in business and society and are beginning to be applied to healthcare. These technologies have the potential to transform many aspects of patient care, as well as administrative processes within provider, payer, and pharmaceutical organizations. There are already a number of research studies suggesting that AI can perform as well as or better than humans at key healthcare tasks, such as diagnosing disease. Today, algorithms are already outperforming radiologists at spotting malignant tumors and guiding researchers in how to construct cohorts for costly clinical trials. However, for a variety of reasons, the authors believe that it will be many years before AI replaces humans for broad medical process domains. Through this book, the authors describe both the potential that AI offers to automate aspects of care and some of the barriers to rapid implementation of AI in healthcare.
001482791 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 30, 2023).
001482791 650_6 $$aIntelligence artificielle en médecine.
001482791 650_6 $$aApprentissage automatique.
001482791 650_0 $$aArtificial intelligence$$xMedical applications.$$xMedical applications$$0(DLC)sh 88003000
001482791 650_0 $$aMachine learning.$$vCongresses$$0(DLC)sh2008107143
001482791 655_0 $$aElectronic books.
001482791 7001_ $$aYadav, Dharmendra Kumar,$$eeditor.
001482791 7001_ $$aGulati, Anamika,$$eeditor.
001482791 77608 $$iPrint version: $$z9819964717$$z9789819964710$$w(OCoLC)1394115010
001482791 852__ $$bebk
001482791 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-6472-7$$zOnline Access$$91397441.1
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001482791 980__ $$aBIB
001482791 980__ $$aEBOOK
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001482791 983__ $$aOnline
001482791 994__ $$a92$$bISE