Amazon Web Services (AWS) Workshop

Artificial Intelligence (AI) has been proven to support radiologist clinical decision-making, and help reduce doctor burnout. To apply AI in medical imaging diagnosis, we need vast amount of annotated medical images to develop a supervised AI model. Annotating medical images accurately is an important procedure. However, it is tedious, time consuming, and demands costly, specialty-oriented skills which are not easily accessible. AI Assisted Annotation (AIAA) has been developed to largely reduce the manual process.

In this workshop, we will present an AWS solution by running MONAI label on Amazon Elastic Compute Cloud (Amazon EC2) with autoscaling - which has been mounted to the same Amazon Elastic File System (Amazon EFS) volume shared with Amazon Sagemaker notebook instances. Through the common file sharing, clinicians and data scientists can collaborate on the same data sets through different tools, and use Amazon AppStream to stream a desktop platform, and name 3D slider for interactive medical image annotation.