"Artificial Intelligence: Applications in Medicine and Biology" ed. by Marco Antonio Aceves-Fernandez

This volume is dedicated to Artificial intelligence (AI). It is taking on an increasingly important role in our society today. This book discusses and examines AI applications in medicine and biology as well as challenges and opportunities in this fascinating area.

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.

Contents
1.Designing Data-Driven Learning Algorithms: A Necessity to Ensure Effective Post-Genomic Medicine and Biomedical Research
2.A Review of EMG Techniques for Detection of Gait Disorders
3.Radiation Oncology in the Era of Big Data and Machine Learning for Precision Medicine
4.A Survey on 3D Ultrasound Reconstruction Techniques
5.Quantum Neural Machine Learning: Theory and Experiments
6.Using Artificial Intelligence and Big Data-Based Documents to Optimize Medical Coding