Overview

The rediscovery of the potential of artificial intelligence (AI) to improve healthcare delivery and patient outcomes has led to an increasing application of AI techniques such as deep learning, computer vision, natural language processing, and robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also, technological giants and leading universities have established teams dedicated to the application of AI in medicine. These trends will mean an expanded role for AI in the provision of healthcare. Yet, there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine, population health, genomics, healthcare administration, and delivery. Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration, and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.

Full Product Details

Author:   Sandeep Reddy
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.660kg
ISBN:  

9780367617172

ISBN 10:   036761717
Pages:   336
Publication Date:   13 December 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Chapter 1 Algorithmic Medicine Chapter 2 Use of Artificial Intelligence in the Screening and Treatment of Chronic Diseases Chapter 3 AI and Drug Discovery Chapter 4 Mammographic screening and Breast Cancer Management - Part 1 Chapter 5 Mammographic screening and Breast Cancer Management - Part 2 Chapter 6 Deep Learning for Drawing Insights from Patient Data for Diagnosis and Treatment Chapter 7 A Simple and Replicable Framework for the Implementation of Clinical Data Science Chapter 8 Clinical Artificial Intelligence – technology application or change management? Chapter 9 Impacting perioperative quality and patient safety using Artificial Intelligence Chapter 10 Application of an Intelligent Stochastic Optimization Non-Linear Model Chapter 11 Audit of Artificial Intelligence Algorithms and its Impact in Relieving Shortage of Specialist Doctors Chapter 12 Knowledge Management in a Learning Health System Chapter 13 Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values Chapter 14 AMD Severity Prediction and Explainability Using Image Registration and Deep Embedded Clustering Chapter 15 Application of Artificial Intelligence in Thyroidology Chapter 16 Use of Artificial Intelligence in Sepsis Detection and Management Chapter 17 Transforming Clinical Trials with Artificial Intelligence Chapter 18 An Industry Review of Neuromorphic Chips Chapter 19 Artificial Empathy - An Artificial Intelligence Challenge

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Author Information

Sandeep Reddy is currently an Associate Professor at the Deakin School of Medicine, Deakin University, Geelong, Australia. He is an academic and certified health informatician with medical and health informatic qualifications. In addition to his medical training and experience with health informatic projects, he has undergone artificial intelligence (AI) training through various sources. He is currently engaged in the design and development of AI models to diagnose and treat medical conditions. He is also advising several organizations about use of AI technology to address healthcare issues. Further, Sandeep has authored several AI and digital health related publications including a book chapter about application of AI in Healthcare.

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