Artificial Intelligence (AI) is revolutionizing telehealth by addressing persistent challenges in diagnosis, patient monitoring, and healthcare accessibility. This data evaluates AI's integration into telehealth systems, emphasizing its transformative role in enhancing diagnostic precision, personalizing treatments, and bridging gaps in healthcare equity. The study explores methodologies such as machine learning, natural language processing, and predictive analytics, presenting their impact on optimizing care delivery.

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[1] Saket Ganti, "AI in Telehealth Resources", IEEE Dataport, 2025. [Online]. Available: http://dx.doi.org/10.21227/4bvd-5x67. Accessed: Feb. 17, 2025.
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doi = {10.21227/4bvd-5x67},
url = {http://dx.doi.org/10.21227/4bvd-5x67},
author = {Saket Ganti },
publisher = {IEEE Dataport},
title = {AI in Telehealth Resources},
year = {2025} }
TY - DATA
T1 - AI in Telehealth Resources
AU - Saket Ganti
PY - 2025
PB - IEEE Dataport
UR - 10.21227/4bvd-5x67
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Saket Ganti. (2025). AI in Telehealth Resources. IEEE Dataport. http://dx.doi.org/10.21227/4bvd-5x67
Saket Ganti, 2025. AI in Telehealth Resources. Available at: http://dx.doi.org/10.21227/4bvd-5x67.
Saket Ganti. (2025). "AI in Telehealth Resources." Web.
1. Saket Ganti. AI in Telehealth Resources [Internet]. IEEE Dataport; 2025. Available from : http://dx.doi.org/10.21227/4bvd-5x67
Saket Ganti. "AI in Telehealth Resources." doi: 10.21227/4bvd-5x67