The Current and Future Landscape of AI in Healthcare
2023/1/4
Summary
As the accessibility and volume of health data increases, machine learning is becoming an important tool in medical diagnosis. Machine learning helps structure and analyze health data, so healthcare organizations can use it to make more accurate and quicker decisions — whether it be diagnostics using genomic sequencing, early-state cancer detection or cardiac visualizations with custom machine learning models.
The growing datasets of patient health-related digital information, increasing demand for personalized medicine, and the rising demand for reducing care expenses are some of the major driving forces of market growth in this segment. The great news is that using AI to create intelligent processes and workflows could make healthcare more effective, personalized, and equitable, while still keeping it more affordable.
How Advantech’s USM-500 is helping change the landscape of hospital AI with medical grade PCs?
The USM-500 was developed based on Advantech’s extensive experience in the medical industry. USM-5 series is a medical-grade platform for real-time software-defined medical devices, aimed at providing AI at the edge for healthcare applications. This innovative edge AI platform supports the NVIDIA RTX A6000 graphics card and NVIDIA's AI tools and frameworks like RAPIDS, TensorRT and Triton Inference Server. The USM-500 can support two video capture cards and one NVIDIA RTX A6000 graphics card to capture large amounts of video data while executing real-time AI algorithms and analysis.
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