https://github.com/AiAiHealthcare/ProjectAiAi

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.
https://github.com/AiAiHealthcare/ProjectAiAi

charity convolutional-neural-networks ct-scans cxr-lungs deep-learning dicom fda keras lung-cancer lung-cancer-detection postero-anterior pytorch radiologist radiology scikit-image teleradiology tensorflow tuberculosis x-ray

Last synced: about 2 months ago
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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.

• Host: GitHub
• URL: https://github.com/AiAiHealthcare/ProjectAiAi
• Owner: AiAiHealthcare
• License: other
• Created: 2016-09-18T23:51:46.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2020-09-20T17:12:18.000Z (about 4 years ago)
• Last Synced: 2024-05-29T23:21:12.409Z (4 months ago)
• Topics: charity, convolutional-neural-networks, ct-scans, cxr-lungs, deep-learning, dicom, fda, keras, lung-cancer, lung-cancer-detection, postero-anterior, pytorch, radiologist, radiology, scikit-image, teleradiology, tensorflow, tuberculosis, x-ray
• Language: Dockerfile
• Homepage: https://AiAi.care/
• Size: 59.6 KB
• Stars: 102
• Watchers: 29
• Forks: 22
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-ai-cancer - AiAiHealthcare/ProjectAiAi - A project with the slated goal of building an FDA-approved, open source deep learning system for detecting lung cancer (Code / Repositories)

README

        
# Project AiAi

[![GitHub Commits Count](https://img.shields.io/github/commits-since/AiAiHealthcare/ProjectAiAi/0.0.svg?maxAge=300&label=Github%20Commits)](https://github.com/AiAiHealthcare/ProjectAiAi/graphs/punch-card)

AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 labeled 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 🌏 

Our secondary goal is to open-source **'Medical Imagenet'** pretrained models and weights.  Medical data is hard to obtain, so many current Radiology-AI papers rely on transfer-learning ImageNet weights.  There are significant differences between ImageNet images (color, low-res, high-contrast) and Radiology images (grayscale, high-res, low-contrast), so we believe that our Medical Imagenet weights will improve sensitivity and specificity across the board for future research. 

If you are looking for a non-technical introduction to Project AiAi, please [click here to visit https://AiAi.care website](https://AiAi.care).  In case you were wondering about the project's name, AiAi stands for _AI Augmented Imaging_.

[![Follow Our Twitter Updates](https://img.shields.io/twitter/follow/AiAiHealthcare.svg?style=social&label=Follow&maxAge=3600)](https://twitter.com/AiAiHealthcare/) 

[![Join Gitter Discussion](https://img.shields.io/gitter/room/AiAi-care/Lobby.svg?maxAge=3600)](https://gitter.im/AiAi-care/Lobby) 

[![Website](https://img.shields.io/website-up-down-green-red/https/AiAi.care.svg?maxAge=3600)](https://AiAi.care/) 

# Project Milestones 

Here are [major milestones](https://github.com/AiAiHealthcare/ProjectAiAi/milestones) for the project and target completion dates:

1. :white_check_mark: ~200,000 X-Ray and CT Data Loading, Cleaning _(Completed Feb 1, 2017)_

1. :white_check_mark: Deep Learning Docker Image (**PyTorch**, HIPAA) _(Completed Feb 28, 2017 )_

1. :white_check_mark: Data Augmentation Tests : March 30, 2017 _(Completed May 2017)_

1. :white_check_mark: Level 1 Models : April 12, 2017 _(Completed May 2017)_

1. :white_check_mark: HIPAA IT Audit and Validation : December 30, 2017 _(Internal Audit Completed 2017)_

1. :white_check_mark: We got :sparkles:500,000+:sparkles: additional X-ray images! Merging this with original data. _(Completed May 2020)_

1. :soon: Experiements with DL architectures, activations, and augmentation: _(In Progress, ETA Q1 2021)_

1. Level 2/3 model ensembles and differential privacy (Detection, Classification) : _(In Progress, ETA Q2 2021)_

1. Build mobile-friendly front-end for AiAi CAD (Computer Aided Detection) : Q2 2021

1. PACS / VNA / DICOM / HL7 / EHR ingestion engine Q3 2021

1. MRMC clinical validation for FDA application : Q3 2021

# Donate your DL / FHIR / PACS Expertise

If you are a Machine Learning maestro, Kaggle king, or HL7 hacker then please check out our [KANBAN project tracker here](https://github.com/AiAiHealthcare/ProjectAiAi/projects/1?fullscreen=true). You can donate your time and expertise by contributing to any of the issues/tasks pinned on the KANBAN board.

# Contribute to Legal Strategy Wiki

Project AiAi is the first effort of its kind to donate an open-source, medical algorithm to the world.  This presents some interesting legal challenges, so we have [set up a wiki page where lawyers can donate their time and advice for Project AiAi.](https://github.com/AiAiHealthcare/ProjectAiAi/wiki)