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Cornell University(康奈尔大学)

2026-01-08 至 2026-01-08 共收录 2
2601.03475 2026-01-08 cs.AI

CPGPrompt: Translating Clinical Guidelines into LLM-Executable Decision Support

CPGPrompt:将临床指南转化为LLM可执行的决策支持

Ruiqi Deng, Geoffrey Martin, Tony Wang, Gongbo Zhang, Yi Liu, Chunhua Weng, Yanshan Wang, Justin F Rousseau, Yifan Peng

机构 * Information Science (Health Tech), Cornell Tech, New York, NY, USA(信息科学(健康科技),康奈尔科技,纽约,纽约州) Systems Engineering, Cornell University, Ithaca, NY, USA(系统工程,康奈尔大学,伊萨卡,纽约州) Population Health Sciences, Weill Cornell Medicine, New York, NY, USA(人口健康科学,韦尔医学院,纽约,纽约州) Computer and Information Science, Cornell University, Ithaca, NY, USA(计算机与信息科学,康奈尔大学,伊萨卡,纽约州) Department of Biomedical Informatics, Columbia University, New York, NY, USA(生物医学信息学系,哥伦比亚大学,纽约,纽约州) Department of Medicine, Weill Cornell Medicine, New York, NY, USA(医学系,韦尔医学院,纽约,纽约州) Department of Health Information Management, University of Pittsburgh, Pittsburgh, PA, USA(健康信息管理系,匹兹堡大学,匹兹堡,宾夕法尼亚州) Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA(临床与转化科学研究所,匹兹堡大学,匹兹堡,宾夕法尼亚州) Department of Neurology, UT Southwestern Medical Center, Dallas, TX, USA(神经病学系,德克萨斯西南医学中心,达拉斯,德克萨斯州) Peter O’Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX, USA(彼得·奥·donnell Jr.脑研究所,德克萨斯西南医学中心,达拉斯,德克萨斯州) Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, USA(临床信息学中心,德克萨斯西南医学中心,达拉斯,美国) Institute of Artificial Intelligence for Digital Health, Weill Cornell Medicine, New York, NY USA(数字健康人工智能研究所,韦尔医学院,纽约,纽约州)

AI总结 CPGPrompt通过将临床指南转化为LLM可执行的结构化决策树,实现对患者病例的高效评估,提升了专科转诊和路径分类的准确性。

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2509.01217 2026-01-08 eess.IV cs.CV

Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges

Learn2Reg 2024:新基准数据集推动新挑战的进步

Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer, Frederic Madesta, Thilo Sentker, Wang Jiazheng, Yuxi Zhang, Hang Zhang, Min Liu, Junyi Wang, Xi Zhu, Yuhua Li, Liwen Wang, Daniil Morozov, Nazim Haouchine, Joel Honkamaa, Pekka Marttinen, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Christian Wachinger, Jin Kim, Dan Ruan, Marek Wodzinski, Henning Müller, Tony C. W. Mok, Xi Jia, Jinming Duan, Mikael Brudfors, Seyed-Ahmad Ahmadi, Yunzheng Zhu, William Hsu, Tina Kapur, William M. Wells, Alexandra Golby, Aaron Carass, Harrison Bai, Yihao Liu, Perrine Paul-Gilloteaux, Joakim Lindblad, Nataša Sladoje, Andreas Walter, Junyu Chen, Reuben Dorent, Alessa Hering, Mattias P. Heinrich

机构 * EchoScout GmbH Institute of Medical Informatics(医学信息学研究所) Institute of Applied Medical Informatics(应用医学信息学研究所) Institute of Computational Neuroscience(计算神经科学研究所) School of Artificial Intelligence and Robotics(人工智能与机器人学院) Cornell University(康奈尔大学) University of Electronic Science and Technology of China(电子科技大学) Mechanical Engineering Department(机械工程系) Harvard Medical School(哈佛医学院) Technical University of Munich(慕尼黑技术大学) Aalto University(阿德莱德大学) Canon Medical Systems (China) Co., Ltd.(佳能医疗系统(中国)有限公司) Smart Medical Imaging, Learning and Engineering (SMLE) Lab(智能医学影像、学习和工程实验室) School of Information Science and Engineering(信息科学与工程学院) Department of Imaging Physics(影像物理系) Clinical Computational Medical Imaging Research(临床计算医学成像研究) TUM Klinikum Rechts der Isar(慕尼黑工业大学医院) University of California(加州大学) AGH University of Krakow(克拉科夫应用科学大学)

AI总结 Learn2Reg 2024通过引入新任务和数据集,推动医学图像配准领域在模态多样性和任务复杂性方面的进展。

Comments Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal.org/2025:034

Journal ref Machine.Learning.for.Biomedical.Imaging. 3 (2025)

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