AiAi.care 项目正在教计算机“看到”胸部 X 光片，并以人类放射科医生的方式解释它们_Dockerfile_代码_下载

# Project AiAi [](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_. [](https://twitter.com/AiAiHealthcare/) [](https://gitter.im/AiAi-care/Lobby) [](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)