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Artificial Intelligence in Healthcare – Gourav Bathla – eBook

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This eBook explores the role of artificial intelligence in modern healthcare systems, including diagnostics, decision support, automation, and data-driven medical innovation. It explains how AI is transforming clinical workflows and healthcare delivery. The content is useful for understanding emerging digital health technologies.This document explores the application of artificial intelligence in healthcare systems, including diagnostics, decision support, and automation. It discusses how AI is transforming medical practice and healthcare delivery. It is useful for understanding modern healthcare innovation.

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, Artificial Intelligence in Healthcare




This book presents state-of-the-art research works for a better understanding
of the advantages and limitations of AI techniques in the field of healthcare.
It will further discuss artificial intelligence applications in depression,
hypertension, and diabetes management. The text also presents an artificial
intelligence chatbot for depression, diabetes, and hypertension self-help.
This book:

• Provides a structured overview of recent developments of artificial
intelligence applications in the healthcare sector.
• Presents an in-depth understanding of how artificial intelligence
techniques can be applied to diabetes management.
• Showcases supervised learning techniques based on datasets for
depression management.
• Discusses artificial intelligence chatbot for diabetes, depression, and
hypertension self-care.
• Highlights the importance of artificial intelligence in managing and
predicting diabetes, hypertension, and depression.

The text is written primarily for senior undergraduates, graduate students,
and academic researchers in diverse fields, including electrical engineering,
electronics and communications engineering, computer science and
engineering, and biomedical engineering.

,Intelligent Data-Driven Systems and Artificial Intelligence
Series Editor: Harish Garg




Cognitive Machine Intelligence
Applications, Challenges, and Related Technologies
Inam Ullah Khan, Salma El Hajjami, Mariya Ouaissa, Salwa Belqziz and
Tarandeep Kaur Bhatia

Artificial Intelligence and Internet of Things based Augmented Trends
for Data Driven Systems
Anshu Singla, Sarvesh Tanwar, Pao-Ann Hsiung

Modelling of Virtual Worlds Using the Internet of Things
Edited by Simar Preet Singh and Arun Solanki

Data-Driven Technologies and Artificial Intelligence in Supply Chain
Tools and Techniques
Mahesh Chand,Vineet Jain and Puneeta Ajmera

Artificial Intelligence in Healthcare
Emphasis on Diabetes, Hypertension, and Depression Management
Edited by Gourav Bathla, Sanoj Kumar, Harish Garg, and Deepika Saini




For more information about this series, please visit: www.routledge.com/Intelligent-Data-
Driven-Systems-and-Artificial-Intelligence/book-series/CRCIDDSAAI

, Artificial Intelligence
in Healthcare



Emphasis on Diabetes, Hypertension,
and Depression Management



Edited by Gourav Bathla,
Sanoj Kumar, Harish Garg,
and Deepika Saini




Boca Raton London New York

CRC Press is an imprint of the
Taylor & Francis Group, an informa business

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Uploaded on
April 16, 2026
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Written in
2025/2026
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