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Artificial Intelligence and Machine Learning in Health Care and Medical Sciences

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Cover of 'Artificial Intelligence and Machine Learning in Health Care and Medical Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 Artificial Intelligence (AI) and Machine Learning (ML) for Healthcare and Health Sciences: The Need for Best Practices Enabling Trust in AI and ML
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    Chapter 2 Foundations and Properties of AI/ML Systems
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    Chapter 3 An Appraisal and Operating Characteristics of Major ML Methods Applicable in Healthcare and Health Science
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    Chapter 4 Foundations of Causal ML
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    Chapter 5 Principles of Rigorous Development and of Appraisal of ML and AI Methods and Systems
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    Chapter 6 The Development Process and Lifecycle of Clinical Grade and Other Safety and Performance-Sensitive AI/ML Models
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    Chapter 7 Data Design in Biomedical AI/ML
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    Chapter 8 Data Preparation, Transforms, Quality, and Management
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    Chapter 9 Evaluation
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    Chapter 10 Overfitting, Underfitting and General Model Overconfidence and Under-Performance Pitfalls and Best Practices in Machine Learning and AI
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    Chapter 11 From “Human versus Machine” to “Human with Machine”
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    Chapter 12 Lessons Learned from Historical Failures, Limitations and Successes of AI/ML in Healthcare and the Health Sciences. Enduring Problems, and the Role of Best Practices
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    Chapter 13 Characterizing, Diagnosing and Managing the Risk of Error of ML & AI Models in Clinical and Organizational Application
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    Chapter 14 Considerations for Specialized Health AI & ML Modelling and Applications: NLP
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    Chapter 15 Considerations for Specialized Health AI & ML Modelling and Applications: Imaging—Through the Perspective of Dermatology
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    Chapter 16 Regulatory Aspects and Ethical Legal Societal Implications (ELSI)
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    Chapter 17 Reporting Standards, Certification/Accreditation, and Reproducibility
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    Chapter 18 Synthesis of Recommendations, Open Problems and the Study of BPs
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Title
Artificial Intelligence and Machine Learning in Health Care and Medical Sciences
Published by
Springer International Publishing, October 2023
DOI 10.1007/978-3-031-39355-6
ISBNs
978-3-03-139354-9, 978-3-03-139355-6
Editors

Simon, Gyorgy J., Aliferis, Constantin

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