Philips Prototypes a Large-scale, Near-real-time Inference Platform to Extend Medical Imaging Using AWS

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Image-guided therapy solutions provide visual guidance during minimally invasive therapies. However, with interventional systems located within hospitals, enabling faster innovation and a roll-out of new technologies to the field has been a significant challenge. To solve this, Philips has prototyped a large-scale, near-real-time inferencing platform on Amazon Web Services (AWS) to extend the capabilities of interventionalists performing these procedures.

Integrating technological improvements for hospital-based systems, in areas such as machine learning is dependent upon expensive hardware replacements, upgrades, and application modernization. Additionally, safety-critical components of systems must stay close to the patient. With those factors in mind, enabling new features and services by first utilizing hybrid architectures that extend on-premises platforms is often the fastest way to cloud adoption and innovation.