5G and Cloud Computing-enabled Real-time Medical Image Processing and Point-of-Care Telemedicine
DOI:
https://doi.org/10.54228/mjaret0624011Keywords:
5G, Cloud Computing, Real-time Medical Imaging, Point-of-Care, Telemedicine, Internet of Medical Things, Latency Reduction, TelehealthAbstract
This study explored the integration of 5G and cloud computing for real-time medical image processing and point-of-care telemedicine. The mobile broadband network with high speed and ultra-low-latency, coupled with the scalable and powerful computational power of cloud computing, can be leveraged to create a new framework for the improved accuracy and efficiency of medical imaging, especially in point-of-care telemedicine. The system has been tested for various clinical scenarios including remote ultrasounds and tele-collaboration for the surgeries. The results showed that the proposed method reduced the time needed for image processing by 40% and improved the accuracy of the diagnosis by 35%. Patient care efficiency was also improved significantly. This approach is compatible with the fast-growing mobile health and will facilitate the swift expansion of telemedical care especially in rural areas.
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