no code implementations • 18 May 2024 • Danli Shi, Weiyi Zhang, Xiaolan Chen, Yexin Liu, Jiancheng Yang, Siyu Huang, Yih Chung Tham, Yingfeng Zheng, Mingguang He
EyeFound provides a generalizable solution to improve model performance and lessen the annotation burden on experts, facilitating widespread clinical AI applications for retinal imaging.
no code implementations • 13 May 2024 • Xiaolan Chen, Jiayang Xiang, Shanfu Lu, Yexin Liu, Mingguang He, Danli Shi
Large language models (LLMs) have emerged as powerful tools with transformative potential across numerous domains, including healthcare and medicine.
no code implementations • 29 Feb 2024 • Xiaolan Chen, Ziwei Zhao, Weiyi Zhang, Pusheng Xu, Le Gao, Mingpu Xu, Yue Wu, Yinwen Li, Danli Shi, Mingguang He
Artificial intelligence (AI) has gained significant attention in healthcare consultation due to its potential to improve clinical workflow and enhance medical communication.
1 code implementation • 18 Jun 2022 • Zhihong Lin, Danli Shi, Donghao Zhang, Xianwen Shang, Mingguang He, ZongYuan Ge
Most high-quality retinography databases ready for research are collected from high-end fundus cameras, and there is a significant domain discrepancy between different cameras.
no code implementations • 19 Nov 2021 • Zhihong Lin, Donghao Zhang, Qingyi Tao, Danli Shi, Gholamreza Haffari, Qi Wu, Mingguang He, ZongYuan Ge
Medical Visual Question Answering~(VQA) is a combination of medical artificial intelligence and popular VQA challenges.