AI-Enhanced Telemedicine: Bridging the Gap in Global Healthcare Access

Authors

  • Manaswini Davuluri Author

Abstract

Telemedicine has become a cornerstone of modern healthcare delivery, and AI is amplifying its potential by enabling real-time diagnostics, remote monitoring, and personalized care. This paper explores the integration of AI in telemedicine platforms, focusing on chatbots for preliminary assessments, computer vision for remote diagnostics, and predictive analytics for patient management. The discussion highlights the role of AI in improving healthcare access in underserved regions while addressing challenges such as infrastructure limitations, data security, and cultural adaptability.

Published

2017-08-20

Issue

Section

Articles

How to Cite

Davuluri, M. (2017). AI-Enhanced Telemedicine: Bridging the Gap in Global Healthcare Access. International Numeric Journal of Machine Learning and Robots, 1(1). https://injmr.com/index.php/fewfewf/article/view/161