Telemedicine Platforms with Cloud-Based AI-Driven Diagnostics in Hospitals

Hospitals may benefit greatly from telemedicine technologies, including cloud-based artificial intelligence (AI)-driven diagnostics. Regardless of location, instantaneous access to medical knowledge is made possible by these systems that allow for virtual consultations between patients and healthcare practitioners. Critical patient data is always available during consultations due to these systems' use of cloud computing to safely store and handle massive volumes of data. The use of AI-powered diagnostics improves the precision and effectiveness of diagnoses. To help healthcare providers make informed decisions, machine learning algorithms examine patient data, including medical imaging, test findings, and clinical notes. Faster and more accurate diagnoses are possible with the help of this technology since it can spot patterns and abnormalities that human practitioners may miss. Hospitals can streamline their workflow using telemedicine technologies that use AI for diagnoses. They improve the efficiency of patient triage, the prioritization of critical situations, and the allocation of resources. Better healthcare delivery, shorter wait times, and improved patient outcomes are the effects of this.

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Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/icvadv63329.2025.10961133
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
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article

Telemedicine Platforms with Cloud-Based AI-Driven Diagnostics in Hospitals

L.N. Jayanthi, R. Meenakshi, Y M Blessy, S. Thangalakshmi et al.
Artificial Intelligence in Healthcare
article

Telemedicine Platforms with Cloud-Based AI-Driven Diagnostics in Hospitals

L.N. Jayanthi, R. Meenakshi, Y M Blessy, S. Thangalakshmi, N. Mohankumar, M. Rajmohan
article en

Abstract

Hospitals may benefit greatly from telemedicine technologies, including cloud-based artificial intelligence (AI)-driven diagnostics. Regardless of location, instantaneous access to medical knowledge is made possible by these systems that allow for virtual consultations between patients and healthcare practitioners. Critical patient data is always available during consultations due to these systems' use of cloud computing to safely store and handle massive volumes of data. The use of AI-powered diagnostics improves the precision and effectiveness of diagnoses. To help healthcare providers make informed decisions, machine learning algorithms examine patient data, including medical imaging, test findings, and clinical notes. Faster and more accurate diagnoses are possible with the help of this technology since it can spot patterns and abnormalities that human practitioners may miss. Hospitals can streamline their workflow using telemedicine technologies that use AI for diagnoses. They improve the efficiency of patient triage, the prioritization of critical situations, and the allocation of resources. Better healthcare delivery, shorter wait times, and improved patient outcomes are the effects of this.

Dr. M.G.R. Educational and Research Institute (IN), Symbiosis International University (IN), Hindustan Institute of Technology and Science (IN), R.M.D. Engineering College, Indian Maritime University (IN), Saveetha University (IN)
Openalex Percentile: Top 91%
Artificial Intelligence in Healthcare
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