Enhancing remote patient monitoring with AI-driven IoMT and cloud computing technologies
Abstract The rapid advancement of the Internet of Medical Things (IoMT) has revolutionized remote healthcare monitoring, enabling real-time disease detection and patient care. This research introduces a novel AI-driven telemedicine framework that integrates IoMT, cloud computing, and wireless sensor...
Saved in:
| Main Authors: | Vijay Kumar Damera, Ramesh Cheripelli, Narsaiah Putta, G. Sirisha, Deepthi Kalavala |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-09727-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Secure and fast mobility handover scheme for IoMT in 5 G and future 6 G networks
by: Shayla Islam, et al.
Published: (2025-09-01) -
Region-Based Hybrid Medical Image Watermarking Scheme for Robust and Secured Transmission in IoMT
by: Priyanka Singh, et al.
Published: (2022-01-01) -
Employing the Beamforming Technique to Enhance the Medical Ambulance Performance, IoMT
by: Mushtaq Al-Sharify, et al.
Published: (2025-03-01) -
Energy-aware cluster head optimization and secure blockchain integration for heterogeneous 6G-enabled IoMT networks
by: R. Yuvarani, et al.
Published: (2025-08-01) -
A secure IoT-edge architecture with data-driven AI techniques for early detection of cyber threats in healthcare
by: Mamta Kumari, et al.
Published: (2025-05-01)