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AI Masterclass

Accelerating AI Product Development in Digital Pathology with Advanced Workflows

Tuesday, April 18, 2023
5 PM BST | 12 PM EDT | 9 AM PDT
Jon Almazán
Jon Almazán
Deep Learning Lead, V7
James Hudson
James Hudson
Principal Customer Success Manager, V7
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AI Masterclass

Accelerating AI Product Development in Digital Pathology with Advanced Workflows

Accelerating AI Product Development in Digital Pathology with Advanced Workflows
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About the Event

Learn how to streamline the development of AI medical models by:

  • Building flexible ML workflows for automated QA process that shorten time-to-delivery
  • Leveraging ML-assisted labeling and automated tools for enhanced accuracy and efficiency
  • Gaining a comprehensive view of your data at every stage of your ML workflow, centralized in one location

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.

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SPEAKERS

Hosted by

Jon Almazán
Jon Almazán
Deep Learning Lead, V7
James Hudson
James Hudson
Principal Customer Success Manager, V7
AGENDA

What to expect

01/

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.

02/

An overview of V7’s Consensus and Logic Stages for automated QA review and accelerated model development.

03/

Real-life examples of life sciences companies solving their medical training data challenges on V7.

04/

A live Q&A session

05/
Speakers

Hosted by

Jon Almazán
Deep Learning Lead, V7

James Hudson
Principal Customer Success Manager, V7

our vision

We’re leading the era of AI-first software

We help companies build software driven by deep learning, to make it accurate, reliable, and indistinguishable from magic.

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