AI-Driven Health Coach for Diabetes Management

Title

AI-Driven Health Coach for Diabetes Management

Creator

Mahalakshmi, J.; Balakrishnan, C.; Tharwani, Alisha; Dhanasekaran, Seshathiri

Description

Artificial intelligence (AI) is transforming diabetes care through innovative approaches that enhance monitoring, prediction, and treatment. AI-powered health coaches exemplify this progress by automating various aspects of patient care, such as creating personalized dietary plans and managing medication schedules, thereby optimizing resource utilization with minimal human intervention. In India, where diabetes affects over 77 million people and significantly elevates the risk of complications like heart disease and stroke, AI-driven tools offer immense potential. Food recognition and nutritional apps powered by AI can revolutionize diabetes management by tracking dietary intake and providing tailored recommendations. However, widespread adoption faces barriers, including challenges related to localization, cultural relevance, and integration with healthcare systems. This chapter examines the role of AI in diabetes management, evaluating the benefits and limitations of current applications. It also proposes a framework for an AI-driven health coach tailored to the Indian context. The proposed solution aims to bridge existing gaps by delivering accurate, culturally sensitive, and integrated diabetes management tools, ultimately improving long-term health outcomes for Indian patients. 2026 selection and editorial matter, Balakrishnan C, Jayapriya J, Vinay M, Sanjeev Kumar Singh, Nadarajah Manivannan individual chapters, the contributors.

Source

Internet of Medical Things: Case Studies and Applications in Healthcare;pp.65-81

Date

01-01-2025

Publisher

CRC Press

Coverage

Mahalakshmi J., Department of Computer Science, CHRIST University, Bengaluru, India; Balakrishnan C., Department of Computer Science, CHRIST University, Bengaluru, India; Tharwani A., Department of Computer Science, CHRIST University, Bengaluru, India; Dhanasekaran S., UiT, The Arctic University of Norway, Troms Norway

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 978-104050436-9; 978-103274893-1;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1201/9781003476344-5

https://www.scopus.com/pages/publications/105034135564?origin=resultslist