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

By Sudip Paul PDF (CSSE) Ph.D (BME) M.Tech (BME) B.Tech (BME) and Jasjit Suri PhD MBA FIEEE FAMIBE FAIUM FSVM FAPVS

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.

• Format: Paperback
• Language: English
• ISBN: 0443138168
• ISBN13: 9780443138164
• Release Date: February 2025
• Publisher: Academic Press
• Length: 344 Pages
• Weight: 1.14 lbs.
• Dimensions: 0.7" x 5.9" x 9.0"