02889nam a22004695i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001600172072001600188072002300204072001500227245010600242250001800348264007200366300005400438336002600492337002600518338003600544347002400580505017500604520101800779650002301797650003601820650002301856650003601879700008401915700007901999700008202078710003402160773002602194776003602220776003602256776003602292856004602328912001402374912001402388999001702402978-981-97-8359-5DE-He21320251030114548.0cr nn 008mamaa241127s2024 si | s |||| 0|eng d a97898197835959978-981-97-8359-57 a10.1007/978-981-97-8359-52doi 4aRC666-701.2 7aMJD2bicssc 7aMED0100002bisacsh 7aMJD2thema10aAI Augmented ECG Technologyh[electronic resource] /cedited by Kang-Yin Chen, Tong Liu, Hua-Yue Tao. a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024. aVII, 140 p. 14 illus. in color.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier atext filebPDF2rda0 aOverview of AI -- Iteration and Development of ECG Devices -- Clinical Application of AI-ECG -- Limitations and Challenges of AI-ECG -- Prospects and Prospects of AI-ECG. aThis book mainly focuses on the application of AI technology in the field of ECG, and details the theoretical, practical, and evidence-based aspects of this technology. It extensively reviews the latest research reports, and discusses the application of artificial intelligence in the diagnosis and treatment of cardiovascular diseases. This book focuses on the application of artificial intelligence in the diagnosis and treatment of cardiovascular diseases, and discusses in depth its clinical application in the diagnosis and treatment of coronary heart disease, heart failure, arrhythmia, cardiac pacing, hypertension, myocardial disease, heart valve disease, electrolyte disorders, and other diseases. It not only provides an overview of medical artificial intelligence but also richly demonstrates its clinical practice, which will help cardiovascular doctors, electrocardiogram diagnostic doctors, or medical students to understand the basic theories, applications, and development direction of this field. 0aCardiology.975410 0aArtificial intelligence.95844114aCardiology.97541024aArtificial Intelligence.9584411 aChen, Kang-Yin.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9881541 aLiu, Tong.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9881551 aTao, Hua-Yue.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9881562 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981978358808iPrinted edition:z978981978360108iPrinted edition:z978981978361840uhttps://doi.org/10.1007/978-981-97-8359-5 aZDB-2-SME aZDB-2-SXM c65263d65263