Book description
The re-discovery of the potential of Artificial Intelligence (AI) to improve healthcare delivery and patient outcomes has led to increasing application of AI techniques such as Deep Learning, Computer Vision, Natural Language Processing and Robotics in the healthcare domain.
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Foreword
- Editor
- Technical Reviewers
- Contributors
- 1 Algorithmic Medicine
- 2 Use of Artificial Intelligence in the Screening and Treatment of Chronic Diseases
- 3 AI and Drug Discovery
- 4 Mammographic Screening and Breast Cancer Management – Part 1
- 5 Mammographic Screening and Breast Cancer Management – Part 2
- 6 Deep Learning for Drawing Insights from Patient Data for Diagnosis and Treatment
- 7 A Simple and Replicable Framework for the Implementation of Clinical Data Science
- 8 Clinical Artificial Intelligence – Technology Application or Change Management?
- 9 Impacting Perioperative Quality and Patient Safety Using Artificial Intelligence
- 10 Application of an Intelligent Stochastic Optimization Nonlinear Model
- 11 Audit of Artificial Intelligence Algorithms and Its Impact in Relieving Shortage of Specialist Doctors
- 12 Knowledge Management in a Learning Health System
- 13 Transfer Learning to Enhance Amenorrhea Status Prediction in Cancer and Fertility Data with Missing Values
- 14 AMD Severity Prediction and Explainability Using Image Registration and Deep Embedded Clustering
- 15 Application of Artificial Intelligence in Thyroidology
- 16 Use of Artificial Intelligence in Sepsis Detection and Management
- 17 Transforming Clinical Trials with Artificial Intelligence
- 18 An Industry Review of Neuromorphic Chips
- 19 Artificial Empathy – An Artificial Intelligence Challenge
- Index
Product information
- Title: Artificial Intelligence
- Author(s):
- Release date: December 2020
- Publisher(s): Productivity Press
- ISBN: 9781000216868
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