Artificial intelligence in healthcare / edited by Adam Bohr, Kaveh Memarzadeh.

Format:

Book

Contributor:

Bohr, Adam, editor.

Memarzadeh, Kaveh, editor.

ScienceDirect (Online service)

Language:

English

Subjects (All):

Artificial intelligence--Medical applications.

Artificial intelligence.

Medical informatics.

Physical Description:

1 online resource (378 pages)

Other Title:

AI in healthcare sata

Place of Publication:

San Diego, CA : Academic Press, an imprint of Elsevier, [2020]

System Details:

text file

Contents:

Front Cover

Artificial Intelligence in Healthcare

Copyright Page

Endorsement

Contents

List of contributors

About the editors

Biographies

Preface

About this book

Intended audience

How is this book organized

Introduction

The promise of an intelligent machine

Current applications and challenges in healthcare

1 Current healthcare, big data, and machine learning

1.1 Current healthcare practice

1.1.1 The rising need for technology

1.1.2 New models in healthcare

1.2 Value-based treatments and healthcare services

1.2.1 Value-based healthcare

1.2.2 Increasing health outcomes

1.2.3 Patient-centered care (the patient will see you now)

1.2.4 Personalized medicine

1.3 Increasing data volumes in healthcare

1.3.1 Big data and data accumulation

1.3.2 Data generation sources

1.3.3 Big data types

1.4 Analytics of healthcare data (machine learning and deep learning)

1.4.1 Machine learning

1.4.2 Deep learning

1.5 Conclusions/summary

References

2 The rise of artificial intelligence in healthcare applications

2.1 The new age of healthcare

2.1.1 Technological advancements

2.1.2 Artificial intelligence applications in healthcare

2.2 Precision medicine

2.2.1 Genetics-based solutions

2.2.2 Drug discovery and development

2.2.2.1 Drug property and activity prediction

2.2.2.2 De novo design through deep learning

2.2.2.3 Drug-target interactions

2.3 Artificial intelligence and medical visualization

2.3.1 Machine vision for diagnosis and surgery

2.3.1.1 Computer vision for diagnosis and surgery

2.3.2 Deep learning and medical image recognition

2.3.3 Augmented reality and virtual reality in the healthcare space

2.3.3.1 Education and exploration

2.3.3.2 Patient experience

2.4 Intelligent personal health records

2.4.1 Health monitoring and wearables

2.4.2 Natural language processing

2.4.3 Integration of personal records

2.5 Robotics and artificial intelligence-powered devices

2.5.1 Minimally invasive surgery

2.5.2 Neuroprosthetics

2.6 Ambient assisted living

2.6.1 Smart home

2.6.2 Assistive robots

2.6.3 Cognitive assistants

2.6.4 Social and emotional stimulation

2.7 The artificial intelligence can see you now

2.7.1 Artificial intelligence in the near and the remote

2.7.2 Success factors for artificial intelligence in healthcare

2.7.2.1 Assessment of condition

2.7.2.2 Managing complications

2.7.2.3 Patient-care assistance

2.7.2.4 Medical research

2.7.3 The digital primary physician

2.7.3.1 Artificial intelligence prequalification (triage)

2.7.3.2 Remote digital visits

2.7.3.3 The future of primary care

3 Drug discovery and molecular modeling using artificial intelligence

3.1 Introduction. The scope of artificial intelligence in drug discovery

Notes:

Electronic reproduction. Amsterdam Available via World Wide Web.

Description based on online resource; title from digital title page (viewed on July 6, 2020).

Other Format:

Print version: Artificial intelligence in healthcare

ISBN:

9780128184394

0128184396

Publisher Number:

40030099130

Access Restriction:

Restricted for use by site license.