Description
This book identifies Artificial Intelligence (AI) as a growing field that is being incorporated into many aspects of human life, including healthcare practice and delivery. The precision, automation, and potential of AI brings multiple benefits to the way disease is diagnosed, investigated and treated. Currently, there is a lack of any appreciable understanding of AI and this book provides detailed understandings, which include; foundational concepts, current applications, future challenges amongst most healthcare practitioners.
This book is suited for all readers as it requires no previous knowledge, it walks non-technical clinicians through the complex ideas and concepts in an easy to understand manner.
Table of Contents
Preface.- Chapter 1 Untangling the concept of Artificial Intelligence, Machine Learning, and Deep Learning.- Chapter 2 Overview of Artificial Intelligence in Medicine.- Chapter 3 Machine learning, deep learning and neural networks.- Chapter 4 Machine Learning in Medical Imaging – Clinical Applications and Challenges in Computer Vision.- Chapter 5 Artificial Intelligence in Medicine: Applications, Limitations and Future Directions.- Chapter 6 Current Applications of Machine Learning in Medicine: ART.- Chapter 7 Artificial Intelligence in Ophthalmology.- Chapter 8 Machine learning in laparoscopic surgery.- Section 3 Limitations & Ethics.- Chapter 9 Limitations.- Chapter 10 Privacy and Data Security Issues.- Chapter 11 Explainable AI.
-
- 洋書電子書籍
- Data Classification…
-
- 洋書電子書籍
- Research on Islamic…
-
- 洋書電子書籍
- Implacable
-
- 洋書電子書籍
- Draw 50 Sea Creatur…
-
- 洋書電子書籍
- Urban Climate Chang…



