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🚧 Research has just started! Come back in a few weeks for more content! 🚧
I have no medical training/education and I am not an expert in this research field.
- As a proponent of the effective altruism movement, and being driven to use AI for Good, I created this repository to learn about the opportunities and challenges of Machine Learning/Artificial Intelligence in Healthcare and Medicine.
- By open-sourcing this repository I hope others may benefit who are similarly starting out doing research in this field!
- There is a literature and resources subfolder organized by subcategories (programmatically created from a
zoterolibrary) that contains relevant research papers and other resources along with metadata and a short description about their relevance. - There is also a knowledge folder containing notes and summaries of papers that I have read more thoroughly (e.g. because they contain foundational knowledge).
- Most of the content you see here is programmatically exported from somewhere else. So please don't try to create a pull request, but instead open an issue and tell me there what you want to have added or changed! I'm happy to hear about important resources, tools, or research papers that I have missed so far!
- Don't hesitate to share any (constructive) criticism! I love to learn and would be glad If I could use your feedback to improve the quality of this resource collection!
If this project provides some value to you, I'd be happy if you do any of the following:
- Contribute to this project (see above).
- Share this project with anyone who might find it useful as well.
- Pay it forward: do something good for someone else. If you need some ideas, take a look at GiveWell.
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- A novel deep learning based framework for the detection and classification of breast cancer using transfer learning (July 1, 2019) 📖
- The benefits and harms of breast cancer screening: an independent review (2013-06) 📖
- European guidelines for quality assurance in breast cancer screening and diagnosis (2013) 📖
- Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art (June 9, 2020) 📖
- Artificial Intelligence: A Primer for Breast Imaging Radiologists (August 10, 2020) 📖
- Breast cancer incidence and mortality before and after implementation of the German mammography screening program (2020-08-01) 📖
- Deep learning in breast radiology: current progress and future directions (2021-01-15) 📖
- Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening (2019-03-19) 📖
- International evaluation of an AI system for breast cancer screening (2020) 📖
- nyukat/breast_cancer_classifier 💻
- Papers with Code - Breast Cancer Detection 📖
- Bibliography
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Courses, Specializations and Workshops
- AI for Medicine (offered by deeplearning.ai via Coursera) 📖
- Evaluations of AI Applications in Healthcare (offered by Stanford via Coursera) 📖
- AI in Healthcare Capstone (offered by Stanford via Coursera) 📖
- Introduction to Clinical Data (offered by Stanford via Coursera) 📖
- Fundamentals of Machine Learning for Healthcare (offered by Stanford via Coursera) 📖
- AI in Healthcare Specialization (offered by Stanford via Coursera) 📖
- Introduction to Healthcare (offered by Stanford via Coursera) 📖
- Machine Learning for Healthcare (MIT 6.S897/HST.S53) 📖
- Learn to Utilize AI in Healthcare (Udacity) 📖
- Bibliography