AI-Driven Telemedicine: Bridging Healthcare and Technology for the Future

Telemedicine and Artificial Intelligence (AI) are breaking through the established barriers of healthcare delivery systems all over the world. This paper studies the multiple ways in which AI can make remote healthcare delivery faster, more personalized, and more accessible, such as developing better diagnostics and personalized treatment pathways. Contrary to simply being about automation, telemedicine reminds one that AI keeps changing by data from patients. The new architecture of AI, its cases of disruption, and the future forecast have also been included in the paper. It has also discussed some of the critical ethical issues and infrastructural barriers that can control the intelligent deployment of healthcare systems.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-01-10
DOI
https://doi.org/10.22214/ijraset.2025.66171
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
Controls
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article

AI-Driven Telemedicine: Bridging Healthcare and Technology for the Future

Jothi Prakash B S
2 citations
International Journal for Research in Applied Science and Engineering Technology
Artificial Intelligence in Healthcare and Education
1.31
article

AI-Driven Telemedicine: Bridging Healthcare and Technology for the Future

Jothi Prakash B S
article en
2 citations

Abstract

Telemedicine and Artificial Intelligence (AI) are breaking through the established barriers of healthcare delivery systems all over the world. This paper studies the multiple ways in which AI can make remote healthcare delivery faster, more personalized, and more accessible, such as developing better diagnostics and personalized treatment pathways. Contrary to simply being about automation, telemedicine reminds one that AI keeps changing by data from patients. The new architecture of AI, its cases of disruption, and the future forecast have also been included in the paper. It has also discussed some of the critical ethical issues and infrastructural barriers that can control the intelligent deployment of healthcare systems.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(1)
Openalex Percentile: Top 18%
Artificial Intelligence in Healthcare and Education
1.31
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