Front Cover -- Artificial Intelligence in Medicine -- Copyright Page -- Dedication -- Contents -- List of contributors -- Foreword -- References -- Preface -- Acknowledgments -- I. Introduction -- 1 Artificial intelligence in medicine: past, present, and future -- 1.1 Introduction -- 1.2 A brief his...

Ausführliche Beschreibung

Bibliographische Detailangaben

Weitere Verfasser:	Xing, Lei (HerausgeberIn), Giger, Maryellen Lissak 1956- (HerausgeberIn), Min, James K. (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	London ; San Diego ; Cambridge Academic Press [2021]
Schlagworte:	Medizin Künstliche Intelligenz Electronic books
Online-Zugang:	FHN01 https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6340276
Zusammenfassung:	Front Cover -- Artificial Intelligence in Medicine -- Copyright Page -- Dedication -- Contents -- List of contributors -- Foreword -- References -- Preface -- Acknowledgments -- I. Introduction -- 1 Artificial intelligence in medicine: past, present, and future -- 1.1 Introduction -- 1.2 A brief history of artificial intelligence and its applications in medicine -- 1.3 How intelligent is artificial intelligence? -- 1.4 Artificial intelligence, machine learning, and precision medicine -- 1.5 Algorithms and models -- 1.6 Health data sources and types -- 1.7 The promise -- 1.8 The challenges -- 1.8.1 Quality and completeness of training data -- 1.8.2 Trust and performance: the case for model interpretability -- 1.8.3 Beyond performance and interpretability: causality -- 1.8.4 Defining the question, measuring real-world impact -- 1.8.5 Maximizing information gain across modalities, tasks, populations, and time -- 1.8.6 Quality assessment and expert supervision -- 1.9 Making it a reality: integrating artificial intelligence into the human workforce of a learning health system -- References -- 2 Artificial intelligence in medicine: Technical basis and clinical applications -- 2.1 Introduction -- 2.2 Technology used in clinical artificial intelligence tools -- 2.2.1 Elements of artificial intelligence algorithms -- 2.2.1.1 Activation functions -- 2.2.1.2 Fully connected layer -- 2.2.1.3 Dropout -- 2.2.1.4 Residual blocks -- 2.2.1.5 Initialization -- 2.2.1.6 Convolution and transposed convolution -- 2.2.1.7 Inception layers -- 2.2.2 Popular artificial intelligence software architectures -- 2.2.2.1 Neural networks and fully connected networks -- 2.2.2.2 Convolutional neural networks -- 2.2.2.3 U-Nets and V-Nets -- 2.2.2.4 DenseNets -- 2.2.2.5 Generative adversarial networks -- 2.2.2.6 Hybrid generative adversarial network designs
Beschreibung:	Description based on publisher supplied metadata and other sources
Beschreibung:	1 Online-Ressource (xxiv, 544 Seiten) Illustrationen, Diagramme
ISBN:	9780128212585