Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study

no code implementations • 14 Jun 2024 • Yujian Hu, Yilang Xiang, Yan-Jie Zhou, Yangyan He, Shifeng Yang, Xiaolong Du, Chunlan Den, Youyao Xu, Gaofeng Wang, Zhengyao Ding, Jingyong Huang, Wenjun Zhao, Xuejun Wu, Donglin Li, Qianqian Zhu, Zhenjiang Li, Chenyang Qiu, Ziheng Wu, Yunjun He, Chen Tian, Yihui Qiu, Zuodong Lin, Xiaolong Zhang, Yuan He, Zhenpeng Yuan, Xiaoxiang Zhou, Rong Fan, Ruihan Chen, Wenchao Guo, Jianpeng Zhang, Tony C. W. Mok, Zi Li, Le Lu, Dehai Lang, Xiaoqiang Li, Guofu Wang, Wei Lu, Zhengxing Huang, Minfeng Xu, HongKun Zhang

Our AI model performed well on non-contrast CT at all applicable early stages of differential diagnosis workflows, effectively reduced the overall missed diagnosis and misdiagnosis rate from 48. 8% to 4. 8% and shortened the diagnosis time for patients with misguided initial suspicion from an average of 681. 8 (74-11, 820) mins to 68. 5 (23-195) mins.

Anatomy Specificity

Real-time Cooperative Vehicle Coordination at Unsignalized Road Intersections

no code implementations • 3 May 2022 • Jiping Luo, Tingting Zhang, Rui Hao, Donglin Li, ChunSheng Chen, Zhenyu Na, Qinyu Zhang

Cooperative coordination at unsignalized road intersections, which aims to improve the driving safety and traffic throughput for connected and automated vehicles, has attracted increasing interests in recent years.

Deep Reinforcement Learning