Artificial Intelligence in e-Health Framework, Volume 1: AI, Classification, Wearable Devices, and Computer-Aided Diagnosis

Author: Paul PDF (CSSE) Ph.D (BME) M.Tech (BME) B.Tech (BME), Sudip

Edition: 1

ISBN: 9780443138164

Release Date: 05-02-2025

Package Dimensions: 9.0 x 6.0 x 0.9 inches

Languages: English

Binding: Paperback

Number Of Pages: 344

Details: Artificial Intelligence in e-health Framework, Volume One: AI, Classification, Wearable Devices, and Computer-Aided Diagnosis presents a variety of AI techniques and applications for solving issues in the healthcare industry. As Artificial Intelligence is increasingly incorporated into medical systems and methods, it is critical to understand the formulations and basics of machine and deep learning as well as how to implement these advances into practice. This book specifically explores Artificial Intelligence developments in disease diagnosis, health monitoring, medical image recognition, and diagnostics, as well as e-health records management.

This is a valuable resource for health professionals, scientists, researchers, students, and all who wish to broaden their knowledge in this advancing technology. Provides an in-depth introduction to Artificial Intelligence in e-health framework Reviews theoretical and application information to develop understanding of AI advances in diagnostics, health monitoring, and records management Discusses advanced AI techniques in both machine learning and deep learning for solving healthcare industry issues