1st Edition

Artificial Intelligence Applications in Healthcare Delivery

Edited By Sandeep Reddy Copyright 2021
    352 Pages 20 B/W Illustrations
    by Productivity Press

    352 Pages 20 B/W Illustrations
    by Productivity Press

    352 Pages 20 B/W Illustrations
    by Productivity Press

    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.

    1 Algorithmic Medicine

    Sandeep Reddy

    2 Use of Artificial Intelligence in the Screening and Treatment of Chronic Diseases

    Chaitanya Mamillapalli, Daniel J. Fox, Ramanath Bhandari, Ricardo Correa, Vishnu Vardhan Garla and Rahul Kashyap

    3 Al and Drug Discovery

    Arash Keshavarzi Arshadi and Milad Salem

    4 Mammographic screening and Breast Cancer Management-Part 1

    James Condon and Lyle Palmer

    5 Mammographic screening and Breast Cancer Management-Part 2

    Mark R. Traill

    6 Deep Learing for Drawing Insights from Patient Data for Diagnosis and Treatment

    Dinesh Kumar and Dharmendra Sharma

    7 A Simple and Replicable Framework for the Implementation of Clinical Data Science

    Juan Luis Cruz, Mariano Provencio, Ernestina Menasalvas

    8 Clinical Artificial Intelligence - technology application or change management?

    Christopher Pearce, Adam McLeod, Anna Fragkoudi, Natalie Rinehart

    9 Impacting Perioperative quality and patient safety using Artificial Intelligence

    Piyush Mathur, Jacek B. Cywinski, Francis Papay

    10 Application of an Intelligent Stochastic Optimization NonLinear Model

    Gonzalo Hernandez and Fernando A. Crespo

    11 Audit of Artificial Intelligence Algorithms and it's impact in Relieving Shortage of Specialist Doctors

    Vidur Mahajan and Vasanth Venugopal

    12 Knowledge Management in a Learning Health System

    Uli K. Chettipally

    13 Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values

    Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib and Michelle Peate

    14 AMD Severity Prediction and Explainability Using Image Registration and Deep Embedded Clustering

    Dwarikanath Mahapatra

    15 Application of Artificial Intelligence in Thyroidology

    Johnson Thomas

    16 Use of Artificial Intelligence in Sepsis Detection and Management

    Neha Deo and Rahul Kashyap

    17 Transforming Clinical Trials with Artificial Intelligence

    Stefanie Lip, Shyam Visweswaran and Sandosh Padmanabhan

    18 An Industry Review of Neuromorphic Chips

    Deepak Kumar Gopalakrishnan, Aditya Ravishankar and Hamid Abdi

    19 Artificial Empathy - An Artificial Intelligence Challenge

    Dharmendra Sharma and Balaji Bikshandi


    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.