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.
Authors
- L.N. Jayanthi
- R. Meenakshi
- Y M Blessy
- S. Thangalakshmi
- N. Mohankumar
- M. Rajmohan (ORCID: https://orcid.org/0000-0002-9549-4407)
Institutions
- 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)
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
- 0.00