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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
We present a comprehensive and deep review of the HFM in challenges, opportunities, and future directions. The released paper: https://arxiv.org/abs/2404.03264
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| 2026-07-31 | 254 |
| 2026-08-06 | 254 |
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# Awesome-Foundation-Models-for-Advancing-Healthcare [](https://awesome.re) [NEWS.20241115] **Our survey [paper](https://ieeexplore.ieee.org/document/10750441) has been accepted by IEEE Reviews in Biomedical Engineering (IF: 17.2).** [NEWS.20240405] **The related survey [paper](https://arxiv.org/abs/2404.03264) has been released.** [NOTE] **If you have any questions, please don't hesitate to [contact us](mailto:[email protected]).** Foundation model, which is pre-trained on broad data and is able to adapt to a wide range of tasks, is advancing healthcare. It promotes the development of healthcare artificial intelligence (AI) models, breaking the contradiction between limited AI models and diverse healthcare practices. Much more widespread healthcare scenarios will benefit from the development of a healthcare foundation model (HFM), improving their advanced intelligent healthcare services. This repository is a collection of AWESOME things about Foundation models in healthcare, including language foundation models (LFMs), vision foundation models (VFMs), bioinformatics foundation models (BFMs), and multimodal foundation models (MFMs). Feel free to star and fork. <p align="center"><img width="100%" src="figs/main.png" /></p> This repository provides the advancement of current healthcare foundation models based on the following paper: **[Foundation Model for Advancing Healthcare: Challenges, Opportunities and Future Directions](https://arxiv.org/abs/2404.03264)** [中译版](./files/HFM_Chinese.pdf)<br/> [Yuting He](https://yutinghe-list.github.io/), [Fuxiang Huang](https://scholar.google.com/citations?hl=zh-CN&user=4BvQU00AAAAJ), [Xinrui Jiang](https://scholar.google.com/citations?hl=zh-CN&user=OYrbv2oAAAAJ), [Yuxiang Nie](https://jerrrynie.github.io/), [Minghao Wang](https://bmwang.cn/), [Jiguang Wang](https://wang-lab.hkust.edu.hk/people/cv_html/Jiguang_wang_cv.html), [Hao Chen](https://cse.hkust.edu.hk/~jhc/)<br/> [SMART Lab](https://hkustsmartlab.github.io/), Hong Kong University of Science and Technology<br/> **IEEE Reviews in Biomedical Engineering**<br/> <br/> If you find our survey beneficial to your work, we would greatly appreciate it if you cite it in your paper: ``` @ARTICLE{10750441, author={He, Yuting and Huang, Fuxiang and Jiang, Xinrui and Nie, Yuxiang and Wang, Minghao and Wang, Jiguang and Chen, Hao}, journal={IEEE Reviews in Biomedical Engineering}, title={Foundation Model for Advancing Healthcare: Challenges, Opportunities and Future Directions}, year={2024}, volume={}, number={}, pages={1-20}, doi={10.1109/RBME.2024.3496744}} ``` # Contents - [Awesome-Foundation-Models-for-Advancing-Healthcare](#Awesome-Foundation-Models-for-Advancing-Healthcare) - [Related survery](#related-survey) - [Methods](#methods) - [LFM methods](#lfm-methods) - [VFM methods](#vfm-methods) - [BFM methods](#bfm-methods) - [MFM methods](#mfm-methods) - [Datasets](#datasets) - [LFM datasets](#lfm-datasets) - [VFM datasets](#vfm-datasets) - [BFM datasets](#bfm-datasets) - [MFM datasets](#mfm-datasets) - [Large-scale comprehensive databases](#large-scale-comprehensive-databases) - [Other Resources](#other-resources) - [Lectures and tutorials](#lectures-and-tutorials) - [Blogs](#blogs) - [Related awesome repositories](#related-awesome-repositories) # Related survey **2024** - [arXiv] Foundation models for biomedical image segmentation: A survey. [[Paper]](https://arxiv.org/abs/2401.07654) - [arXiv] Progress and opportunities of foundation models in bioinformatics. [[Paper]](https://arxiv.org/abs/2402.04286) - [arXiv] Large language models in bioinformatics: applications and perspectives. [[Paper]](https://arxiv.org/abs/2401.04155) - [arXiv] Data-centric foundation models in computational healthcare: A survey. [[Paper]](https://arxiv.org/abs/2401.02458) - [arXiv] Vision-Language Models for Medical Report Generation and Visual Question Answering: A Rev
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:134a662cb22a72fa, name:healthcare