Grand Challenge

A platform for end-to-end development of machine learning solutions in biomedical imaging.

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Manage Your Data

  • Upload medical imaging data easily and securely
  • Control who has access to the data
  • View data with our globally available browser-based workstations

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Train Expert Annotators

  • Create sets of questions that users must answer about a dataset
  • Invite clinical experts take part in the training
  • Deliver immediate feedback on performance

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Gather Annotations

  • Create your own set of questions for your dataset
  • Customise the hanging protocols and overlays
  • Use our intuitive workstations to view and report the images

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Benchmark Algorithms

  • Manage your annotated training, test and validation data sets
  • Gather machine learning solutions for your clinical question
  • Objectively assess the performance of algorithms

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Deploy Your Algorithms

  • Upload algorithm container images
  • Manage access for clinical and non-clinical researchers
  • Upload data for execution by your algorithm on our infrastructure

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Find Certified Solutions

  • Filter to easily find solutions to your clinical questions
  • Compare product specifications
  • Verify CE and FDA certification

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Users

63,000

Challenges

264

Algorithms

268

Latest Blog Posts

The origin story of AI for Radiology and a market summary

14 Sept. 2021 by Kicky van Leeuwen

The market of artificial intelligence (AI) software for radiology keeps growing which makes it difficult for pretty much anyone in the field to maintain oversight. That's where AI for Radiology comes in. Read more about what we aim to do, how we do it, and learn what products are on the market today.

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What's up in AI for Radiology - August 2021

7 Sept. 2021 by Kicky van Leeuwen

Reimbursement for AI | head-to-head TB study | Qure.ai launches qCT-Lung | welcoming SenseTime, Smart Soft Healthcare, AlgoMedica, and annalise.ai | and more AI for Radiology news

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