Developing accurate medical training data for FDA-approved AI pathology devices can be a costly and challenging process. But with the right approach, AI medical teams can optimize their ML data operations to label WSI at scale and bring these devices to market faster. In this webinar, you’ll learn how to leverage automated data workflows to overcome the hurdles of medical data annotation, streamline QA processes, and accelerate AI model development.
A live demo of how your team can create accurate medical training data faster by building custom medical workflows with no prior coding experience required.
An overview of V7’s Consensus and Logic Stages for automated QA review and accelerated model development.
Real-life examples of life sciences companies solving their medical training data challenges on V7.
A live Q&A session