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Background: Recent advancements in large language models (LLMs) offer potential benefits in healthcare, particularly in processing extensive patient records.
It’s about time: Physicians’ perceptions of time constraints in primary care medical practice in three national healthcare systems
Thomas R Konrad, Carol L Link, Rebecca J Shackelton, Lisa D Marceau, Olaf von dem Knesebeck, Johannes Siegrist, Sara Arber, Ann Adams, and John B McKinlay · 2010
Earlier work this paper cites.
A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources
Sungrim Moon, Serguei Pakhomov, Nathan Liu, James O Ryan, and Genevieve B Melton · 2014
Earlier work this paper cites.
Mimic-iii, a freely accessible critical care database
Alistair EW Johnson, Tom J Pollard, Lu Shen, Li-wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark · 2016
Earlier work this paper cites.
A frame semantic overview of NLP-based information extraction for cancer-related EHR notes
Surabhi Datta, Elmer Bernstam, and Kirk Roberts · 2019
Earlier work this paper cites.
Pubmedqa: A dataset for biomedical research question answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, and Xinghua Lu · 2019
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Mimic-cxr-jpg-chest radiographs with structured labels
Alistair Johnson, Matt Lungren, Yifan Peng, Zhiyong Lu, Roger Mark, Seth Berkowitz, and Steven Horng · 2019
Earlier work this paper cites.
Long range arena: A benchmark for efficient transformers, 2020
Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, and Donald Metzler · 2020
Earlier work this paper cites.
Length and redundancy of outpatient progress notes across a decade at an academic medical center
Adam Rule, Steven Bedrick, Michael F Chiang, and Michelle R Hribar · 2021
Earlier work this paper cites.
What disease does this patient have? a large-scale open domain question answering dataset from medical exams
Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, and Peter Szolovits · 2021
Earlier work this paper cites.
Aligning ai with shared human values
Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, and Jacob Steinhardt · 2021
Earlier work this paper cites.
Measuring massive multitask language understanding
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt · 2021
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Why is the electronic health record so challenging for research and clinical care?
John H Holmes, James Beinlich, Mary R Boland, Kathryn H Bowles, Yong Chen, Tessa S Cook, George Demiris, Michael Draugelis, Laura Fluharty, Peter E Gabriel, Robert Grundmeier, C William Hanson, Daniel S Herman, Blanca E Himes, Rebecca A Hubbard, Charles E Kahn, Jr, Dokyoon Kim, Ross Koppel, Qi Long, Nebojsa Mirkovic, Jeffrey S Morris, Danielle L Mowery, Marylyn D Ritchie, Ryan Urbanowicz, and Jason H Moore · 2021
Cited alongside, same era.
Assertion detection in clinical notes: Medical language models to the rescue?
Betty van Aken, Ivana Trajanovska, Amy Siu, Manuel Mayrdorfer, Klemens Budde, and Alexander Loeser · 2021
Cited alongside, same era.
Large language models are few-shot clinical information extractors
Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, and David Sontag · 2022
Cited alongside, same era.
Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering
Ankit Pal, Logesh Kumar Umapathi, and Malaikannan Sankarasubbu · 2022
Cited alongside, same era.
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
How long can open-source llms truly promise on context length?, June 2023
Dacheng Li, Rulin Shao, Anze Xi, Ying Sheng andLianmin Zheng, Joseph E. Gonzalez, Ion Stoica, Xuezhe Ma, and Hao Zhang · 2023
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Mistral 7b, 2023
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed · 2023
Later among the works it cites.
Zephyr: Direct distillation of lm alignment
Lewis Tunstall, Edward Beeching, Nathan Lambert, Nazneen Rajani, Kashif Rasul, Younes Belkada, Shengyi Huang, Leandro von Werra, Clémentine Fourrier, Nathan Habib, et al · 2023
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Spec: A soft prompt-based calibration on performance variability of large language model in clinical notes summarization, 2023
Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, and Xia Hu · 2023
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Llms accelerate annotation for medical information extraction
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Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, et al · 2022
Cited alongside, same era.
Large language models are few-shot clinical information extractors
Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, and David Sontag · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
Cited alongside, same era.
The future landscape of large language models in medicine
Jan Clusmann, Fiona R Kolbinger, Hannah Sophie Muti, Zunamys I Carrero, Jan-Niklas Eckardt, Narmin Ghaffari Laleh, Chiara Maria Lavinia Löffler, Sophie-Caroline Schwarzkopf, Michaela Unger, Gregory P Veldhuizen, Sophia J Wagner, and Jakob Nikolas Kather · 2023
Cited alongside, same era.
Gpqa: A graduate-level google-proof q&a benchmark, 2023
David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, and Samuel R. Bowman · 2023
Cited alongside, same era.
Judging llm-as-a-judge with mt-bench and chatbot arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, et al · 2023
Cited alongside, same era.
Akshay Goel, Almog Gueta, Omry Gilon, Chang Liu, Sofia Erell, Lan Huong Nguyen, Xiaohong Hao, Bolous Jaber, Shashir Reddy, Rupesh Kartha, Jean Steiner, Itay Laish, and Amir Feder · 2023
Later among the works it cites.
Identifying and extracting rare disease phenotypes with large language models, 2023
Cathy Shyr, Yan Hu, Paul A. Harris, and Hua Xu · 2023
Later among the works it cites.
Distilling large language models for biomedical knowledge extraction: A case study on adverse drug events, 2023
Yu Gu, Sheng Zhang, Naoto Usuyama, Yonas Woldesenbet, Cliff Wong, Praneeth Sanapathi, Mu Wei, Naveen Valluri, Erika Strandberg, Tristan Naumann, and Hoifung Poon · 2023
Later among the works it cites.
Large language model is not a good few-shot information extractor, but a good reranker for hard samples!, 2023
Yubo Ma, Yixin Cao, YongChing Hong, and Aixin Sun · 2023
Later among the works it cites.
Long context prompting for claude 2.1, Dec 2023
Anthropic · 2023
Later among the works it cites.
Mixtral of experts, 2024
Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed · 2024
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