Scalable Artificial Intelligence

Medical imaging vendors want to improve their services for medical professionals by adding Artificial Intelligence (AI) and Augmented Reality (AR) to their devices. For small form factor devices, AMD embedded processor based Computer-on-Modules are a good choice to balance the performance needs of their AI inference engines under space and power restricted conditions.

Major medical imaging vendors are currently ramping up their AI activities and the market is expected to see a massive CAGR of 40%i and more over the next years. AI can, for example, effect improvements in stroke detection and diagnosis software and analysis tools to measure blood flow in non-invasive coronary examsii. Owing to AI’s capability to detect cancer at an early stage, further application areas can be found in tumor development tracking to improve patients’ life expectancy. The increasing application of AI in diagnostics and medical imaging will drive growth and change the user experience to a more phenotypic characterization of images, including medical inference workflows that are prioritized by AI...

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