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Healthcare and Artificial Intelligence

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Cover of 'Healthcare and Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Artificial Intelligence and Tomorrow’s Health
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    Chapter 2 Advancing Healthcare Through Data-Driven Medicine and Artificial Intelligence
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    Chapter 3 Artificial Intelligence: A Vector for Positive Change in Medicine
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    Chapter 4 Machine Learning and Massive Health Data
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    Chapter 5 Linking an Epidemiological Cohort to Medicoadministrative Databases
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    Chapter 6 Medical and Administrative Data on Health Insurance
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    Chapter 7 How the SNIIRAM–PMSI Database Enables the Study of Surgical Practices
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    Chapter 8 Hospital Databases
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    Chapter 9 Experience of the Institut Curie
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    Chapter 10 Knowledge by Design
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    Chapter 11 Artificial Intelligence to Help the Practitioner Choose the Right Treatment: Watson for Oncology
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    Chapter 12 Artificial Intelligence to Help Choose Treatment and Diagnosis Commentary
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    Chapter 13 Medical Imaging in the Age of Artificial Intelligence
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    Chapter 14 Artificial Intelligence in Medical Imaging
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    Chapter 15 The AI Guardian for Surgery
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    Chapter 16 Toward an Operating Room Control Tower?
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    Chapter 17 High-Dimensional Statistical Learning and Its Application to Oncological Diagnosis by Radiomics
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    Chapter 18 Mathematical Modeling of Tumors
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    Chapter 19 Toward an Augmented Radiologist
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    Chapter 20 Functional Imaging for Customization of Oncology Treatment
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    Chapter 21 Virtual Image and Pathology
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    Chapter 22 Artificial Intelligence and Cancer Genomics
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    Chapter 23 Besides the Genome, the Environmentome?
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    Chapter 24 Artificial Intelligence Applied to Oncology
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    Chapter 25 Physical and Mathematical Modeling in Oncology: Examples
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    Chapter 26 Artificial Intelligence for Medical and Pharmaceutical Research: Can Artificial Intelligence Help in the Discovery and Development of New Drugs?
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    Chapter 27 Open Science and Open Data: Accelerating Scientific Research
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    Chapter 28 Data: Protection and Legal Conditions of Access and Processing
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    Chapter 29 CNIL (Commission Nationale de l’Informatique et des Libertés) and Analysis of Big Data Projects in the Health Sector
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    Chapter 30 International Vision of Big Data
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    Chapter 31 Are Public Health Issues Endangered by Information?
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    Chapter 32 Social and Emotional Robots: Useful Artificial Intelligence in the Absence of Consciousness
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    Chapter 33 Augment Humans, and Then What?
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    Chapter 34 Artificial Intelligence: A Vector for the Evolution of Health Professions and the Organization of Hospitals
Overall attention for this book and its chapters
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Citations

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Title
Healthcare and Artificial Intelligence
Published by
Springer International Publishing, February 2020
DOI 10.1007/978-3-030-32161-1
ISBNs
978-3-03-032160-4, 978-3-03-032161-1
Editors

Nordlinger, Bernard, Villani, Cédric, Rus, Daniela

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 17%
Student > Ph. D. Student 8 15%
Lecturer 4 8%
Researcher 4 8%
Student > Bachelor 3 6%
Other 4 8%
Unknown 20 38%
Readers by discipline Count As %
Engineering 6 12%
Social Sciences 6 12%
Computer Science 5 10%
Business, Management and Accounting 3 6%
Medicine and Dentistry 3 6%
Other 9 17%
Unknown 20 38%