DevOps Workflow for AI Based Medical Devices Software Development and Deployment on the Cloud

• DevOps is a set of practices that combine software development and IT operations. It aims to shorten the medical devices development lifecycle and provide continuous delivery with high quality. 
• In this talk, we will demonstrate how MathWorks’ products can be utilized as a one-stop shop for accomplishing all the DevOps tasks related to medical devices software development, which includes AI algorithms. We will demonstrate the specific capabilities of MathWorks software to implement CI/CD pipeline with automated testing, deploy software on cloud with data streaming services, connect with database server, develop monitoring dashboards, and implement any feedback in the software. We will also demonstrate how MathWorks is compliant with the guidelines provided by the FDA for TPLC (Total product life cycle) approach on AI/ML based workflows

Highlights.

• Patient health monitoring and digital health device development
• Deploying the software on AWS cloud with scaling capabilities 
• Developing apps for dashboards for monitoring
• Integration of the software with database servers and data streaming services, e.g. Kafka stream
• Automated testing and CI/CD integration for software development 

Who Should Attend

Engineers, researchers, scientists, and IT professionals working on integrating medical devices software into DevOps cycle.