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E-grāmata: Artificial Intelligence: Applications in Healthcare Delivery

  • Formāts: 352 pages
  • Izdošanas datums: 02-Dec-2020
  • Izdevniecība: CRC Press
  • ISBN-13: 9781000216844
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Artificial Intelligence: Applications in Healthcare DeliveryPalielināt
  • Formāts: 352 pages
  • Izdošanas datums: 02-Dec-2020
  • Izdevniecība: CRC Press
  • ISBN-13: 9781000216844
Citas grāmatas par šo tēmu:

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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.



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.
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
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.
Biežāk uzdotie jautājumi par e-grāmatām Biežāk uzdotie jautājumi par e-grāmatām
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