Open access peer-reviewed Edited Volume

Artificial Intelligence

Applications in Medicine and Biology

Artificial intelligence (AI) is taking on an increasingly important role in our society today. In the early days, machines fulfilled only manual activities. Nowadays, these machines extend their capabilities to cognitive tasks as well. And now AI is poised to make a huge contribution to medical and biological applications. From medical equipment to diagnosing and predicting disease to image and video processing, among others, AI has proven to be an area with great potential. The ability of AI to make informed decisions, learn and perceive the environment, and predict certain behavior, among its many other skills, makes this application of paramount importance in today's world. This book discusses and examines AI applications in medicine and biology as well as challenges and opportunities in this fascinating area.

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Artificial IntelligenceApplications in Medicine and BiologyEdited by Marco Antonio Aceves-Fernandez

Published: July 31st 2019

DOI: 10.5772/intechopen.77536

ISBN: 978-1-78984-018-6

Print ISBN: 978-1-78984-017-9

eBook (PDF) ISBN: 978-1-78984-605-8

Copyright year: 2019

Books open for chapter submissions

1682 Total Chapter Downloads

chaptersDownloads

Open access peer-reviewed

1. Designing Data-Driven Learning Algorithms: A Necessity to Ensure Effective Post-Genomic Medicine and Biomedical Research

By Gaston K. Mazandu, Irene Kyomugisha, Ephifania Geza, Milaine Seuneu, Bubacarr Bah and Emile R. Chimusa

145

Open access peer-reviewed

2. A Review of EMG Techniques for Detection of Gait Disorders

By Rajat Emanuel Singh, Kamran Iqbal, Gannon White and Jennifer K. Holtz

333

Open access peer-reviewed

3. Radiation Oncology in the Era of Big Data and Machine Learning for Precision Medicine

By Alexander F.I. Osman

466

Open access peer-reviewed

4. A Survey on 3D Ultrasound Reconstruction Techniques

By Farhan Mohamed and Chan Vei Siang

266

Open access peer-reviewed

5. Quantum Neural Machine Learning: Theory and Experiments

By Carlos Pedro dos Santos Gonçalves

377

Open access peer-reviewed

6. Using Artificial Intelligence and Big Data-Based Documents to Optimize Medical Coding

By Joseph Noussa-Yao, Didier Heudes and Patrice Degoulet

95

Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI
  • IET Inspec

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