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AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.

  • Updated Sep 20, 2020
  • Dockerfile
syllabus
SallyMcGrath
SallyMcGrath commented Jul 19, 2021

Which module(s) and week(s) does this change affect?
Module(s): all modules
Week(s): all weeks

What is the work that needs to be done?
In "Instructor Notes" or its own page if people think that's better, a section to collect differentiated 'check in' questions on the learning objectives of that lesson.

Why is this work important to do?
Teachers want guidance on good question

enhancement good first issue content
helphub

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