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The BioNLP ACL'24 Shared Task on Streamlining Discharge Documentation aims to reduce the administrative burden on clinicians by automating the creation of critical sections of patient discharge letters.
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Automatic text summarization: A comprehensive survey
Wafaa S El-Kassas, Cherif R Salama, Ahmed A Rafea, and Hoda K Mohamed. 2021 · 2021
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Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
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Summarizing patients’ problems from hospital progress notes using pre-trained sequence-to-sequence models
Yanjun Gao, Timothy Miller, Dongfang Xu, Dmitriy Dligach, Matthew M Churpek, and Majid Afshar. 2022 · 2022
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Overview of the problem list summarization (probsum) 2023 shared task on summarizing patients’ active diagnoses and problems from electronic health record progress notes
Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M Churpek, and Majid Afshar. 2023a · 2023
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Deakinnlp at probsum 2023: Clinical progress note summarization with rules and language modelsclinical progress note summarization with rules and languague models
Ming Liu, Dan Zhang, Weicong Tan, and He Zhang. 2023 · 2023
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Medagents: Large language models as collaborators for zero-shot medical reasoning
Xiangru Tang, Anni Zou, Zhuosheng Zhang, Yilun Zhao, Xingyao Zhang, Arman Cohan, and Mark Gerstein. 2023 · 2023
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Biomedlm: A 2.7 b parameter language model trained on biomedical text
Elliot Bolton, Abhinav Venigalla, Michihiro Yasunaga, David Hall, Betty Xiong, Tony Lee, Roxana Daneshjou, Jonathan Frankle, Percy Liang, Michael Carbin, et al. 2024 · 2024
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Foundation model for advancing healthcare: Challenges, opportunities, and future directions
Yuting He, Fuxiang Huang, Xinrui Jiang, Yuxiang Nie, Minghao Wang, Jiguang Wang, and Hao Chen. 2024 · 2024
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Biomistral: A collection of open-source pretrained large language models for medical domains
Yanis Labrak, Adrien Bazoge, Emmanuel Morin, Pierre-Antoine Gourraud, Mickael Rouvier, and Richard Dufour. 2024 · 2024
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Darren Liu, Cheng Ding, Delgersuren Bold, Monique Bouvier, Jiaying Lu, Benjamin Shickel, Craig S Jabaley, Wenhui Zhang, Soojin Park, Michael J Young, et al. 2024 · 2024
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Clinical text summarization: Adapting large language models can outperform human experts
Dave Van Veen, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, Malgorzata Polacin, Eduardo Pontes Reis, Anna Seehofnerova, et al. 2023 · 2023
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Aci-bench: a novel ambient clinical intelligence dataset for benchmarking automatic visit note generation
Wen-wai Yim, Yujuan Fu, Asma Ben Abacha, Neal Snider, Thomas Lin, and Meliha Yetisgen. 2023 · 2023
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Alignscore: Evaluating factual consistency with a unified alignment function
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Llama 3 model card
AI@Meta. 2024 · 2024
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Leveraging a medical knowledge graph into large language models for diagnosis prediction
Yanjun Gao, Ruizhe Li, John Caskey, Dmitriy Dligach, Timothy Miller, Matthew M Churpek, and Majid Afshar. 2023b
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Retrieval-augmented generation for large language models: A survey
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, and Haofen Wang. 2023c
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Mimic-iv-ed (version 2.2)
Alistair Johnson, Lucas Bulgarelli, Tom Pollard, Leo Anthony Celi, Roger Mark, and Steven Horng. 2023a
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Pmc-llama: toward building open-source language models for medicine
Chaoyi Wu, Weixiong Lin, Xiaoman Zhang, Ya Zhang, Weidi Xie, and Yanfeng Wang. 2024 · 2024
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Overview of the first shared task on clinical text generation: Rrg24 and “discharge me!”
Justin Xu, Zhihong Chen, Andrew Johnston, Louis Blankemeier, Maya Varma, Jason Hom, William J. Collins, Ankit Modi, Robert Lloyd, Benjamin Hopkins, Curtis Langlotz, and Jean-Benoit Delbrouck. 2024 · 2024
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Almanac — retrieval-augmented language models for clinical medicine
Cyril Zakka, Rohan Shad, Akash Chaurasia, Alex R. Dalal, Jennifer L. Kim, Michael Moor, Robyn Fong, Curran Phillips, Kevin Alexander, Euan Ashley, Jack Boyd, Kathleen Boyd, Karen Hirsch, Curt Langlotz, Rita Lee, Joanna Melia, Joanna Nelson, Karim Sallam, Stacey Tullis, Melissa Ann Vogelsong, John Patrick Cunningham, and William Hiesinger. 2024 · 2024
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Sam-guided enhanced fine-grained encoding with mixed semantic learning for medical image captioning
Zhenyu Zhang, Benlu Wang, Weijie Liang, Yizhi Li, Xuechen Guo, Guanhong Wang, Shiyan Li, and Gaoang Wang. 2024 · 2024
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