Accelerate and improve healthcare diagnoses at the medical edge
Channel: OpenShift
Date: 2022-10-14

Operationalized Validated Patterns delivered through event-driven architectures can greatly accelerate a project from proof of concept to a production-ready deployment. In this comprehensive demo, we take you under the covers on Red Hat's edge validated pattern for healthcare. This pattern shows how organizations can ingest discrete data patterns, in this case, an X-ray image, into a workflow automated with data pipelines, elastic application deployments, and AI inferencing to assist medical practitioners in diagnosing disease, while also providing data scientists valuable information to help retrain machine learning models for more accurate and timely diagnoses.

Get the code, fork it, modify and contribute at http://red.ht/patterns