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Large language models (LLMs) have made significant progress in various domains, including healthcare.
Mplus: a probabilistic medical language understanding system
Lee Christensen, Peter Haug, and Marcelo Fiszman · 2002
Earlier work this paper cites.
i2b2 workshop on natural language processing challenges for clinical records
Ozlem Uzuner, Peter Szolovits, and Isaac Kohane · 2006
Earlier work this paper cites.
2010 i2b2/va challenge on concepts, assertions, and relations in clinical text
Özlem Uzuner, Brett R South, Shuying Shen, and Scott L DuVall · 2011
Earlier work this paper cites.
Semeval-2013 task 9: Extraction of drug-drug interactions from biomedical texts (ddiextraction 2013)
Isabel Segura-Bedmar, Paloma Martínez Fernández, and María Herrero Zazo · 2013
Earlier work this paper cites.
Ncbi disease corpus: a resource for disease name recognition and concept normalization
Rezarta Islamaj Doğan, Robert Leaman, and Zhiyong Lu · 2014
Earlier work this paper cites.
Automated methods for the summarization of electronic health records
Rimma Pivovarov and Noémie Elhadad · 2015
Earlier work this paper cites.
An overview of the bioasq large-scale biomedical semantic indexing and question answering competition
George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas, Matthias Zschunke, Michael R Alvers, Dirk Weissenborn, Anastasia Krithara, Sergios Petridis, Dimitris Polychronopoulos, et al · 2015
Earlier work this paper cites.
Biocreative v cdr task corpus: a resource for chemical disease relation extraction
Jiao Li, Yueping Sun, Robin J Johnson, Daniela Sciaky, Chih-Hsuan Wei, Robert Leaman, Allan Peter Davis, Carolyn J Mattingly, Thomas C Wiegers, and Zhiyong Lu · 2016
Earlier work this paper cites.
Clinical relation extraction with deep learning
Xinbo Lv, Yi Guan, Jinfeng Yang, and Jiawei Wu · 2016
Earlier work this paper cites.
Improving ner for clinical texts by ensemble approach using segment representations
Hamada Nayel and HL Shashirekha · 2017
Earlier work this paper cites.
Biosses: a semantic sentence similarity estimation system for the biomedical domain
Gizem Soğancıoğlu, Hakime Öztürk, and Arzucan Özgür · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Earlier work this paper cites.
Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives
Sebastian Gehrmann, Franck Dernoncourt, Yeran Li, Eric T Carlson, Joy T Wu, Jonathan Welt, John Foote Jr, Edward T Moseley, David W Grant, Patrick D Tyler, et al · 2018
Earlier work this paper cites.
Transferability of artificial neural networks for clinical document classification across hospitals: a case study on abnormality detection from radiology reports
Hamed Hassanzadeh, Anthony Nguyen, Sarvnaz Karimi, and Kevin Chu · 2018
Earlier work this paper cites.
Lessons from natural language inference in the clinical domain
Alexey Romanov and Chaitanya Shivade · 2018
Earlier work this paper cites.
Detection of drug–drug interactions through data mining studies using clinical sources, scientific literature and social media
Santiago Vilar, Carol Friedman, and George Hripcsak · 2018
Cited alongside, same era.
Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation
Majid Afshar, Andrew Phillips, Niranjan Karnik, Jeanne Mueller, Daniel To, Richard Gonzalez, Ron Price, Richard Cooper, Cara Joyce, and Dmitriy Dligach · 2019
Cited alongside, same era.
Publicly available clinical bert embeddings
Emily Alsentzer, John R Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, and Matthew McDermott · 2019
Cited alongside, same era.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
Cited alongside, same era.
Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa · 2022
Later among the works it cites.
Tasks as needs: reframing the paradigm of clinical natural language processing research for real-world decision support
Asher Lederman, Reeva Lederman, and Karin Verspoor · 2022
Later among the works it cites.
Iteratively prompt pre-trained language models for chain of thought
Boshi Wang, Xiang Deng, and Huan Sun · 2022
Later among the works it cites.
Exploring ai-healthcare innovation: Natural language processing-based patents analysis for technology-driven roadmapping
Yu-Hui Wang and Guan-Yu Lin · 2022
Later among the works it cites.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed H Chi, Quoc V Le, Denny Zhou, et al · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
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Yifan Peng, Shankai Yan, and Zhiyong Lu · 2019
Cited alongside, same era.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Cited alongside, same era.
Artificial intelligence approaches using natural language processing to advance ehr-based clinical research
Young Juhn and Hongfang Liu · 2020
Cited alongside, same era.
Biobert: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang · 2020
Cited alongside, same era.
Comparative analysis of text classification approaches in electronic health records
Aurelie Mascio, Zeljko Kraljevic, Daniel Bean, Richard Dobson, Robert Stewart, Rebecca Bendayan, and Angus Roberts · 2020
Cited alongside, same era.
Adaptation of idpt system based on patient-authored text data using nlp
Suresh Kumar Mukhiya, Usman Ahmed, Fazle Rabbi, Ka I Pun, and Yngve Lamo · 2020
Cited alongside, same era.
Evaluation of dataset selection for pre-training and fine-tuning transformer language models for clinical question answering
Sarvesh Soni and Kirk Roberts · 2020
Cited alongside, same era.
Learning from unlabelled data for clinical semantic textual similarity
Yuxia Wang, Karin Verspoor, and Timothy Baldwin · 2020
Cited alongside, same era.
Chatgpt and the future of medical writing, 2023
Som Biswas · 2023
Closest in time.
Google is asking employees to test potential chatgpt competitors, including a chatbot called ‘apprentice bard’
Jennifer Elias · 2023
Closest in time.
Is chatgpt a good translator? a preliminary study
Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Xing Wang, and Zhaopeng Tu · 2023
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Performance of chatgpt on usmle: Potential for ai-assisted medical education using large language models
Tiffany H Kung, Morgan Cheatham, Arielle Medenilla, Czarina Sillos, Lorie De Leon, Camille Elepaño, Maria Madriaga, Rimel Aggabao, Giezel Diaz-Candido, James Maningo, et al · 2023
Closest in time.
Gpt-4 technical report, 2023
OpenAI · 2023
Closest in time.
Chatgpt: the future of discharge summaries?
Sajan B Patel and Kyle Lam · 2023
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Chatgpt and other large language models are double-edged swords, 2023
Yiqiu Shen, Laura Heacock, Jonathan Elias, Keith D Hentel, Beatriu Reig, George Shih, and Linda Moy · 2023
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Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, et al · 2023
Closest in time.
Is chatgpt a good nlg evaluator? a preliminary study
Jiaan Wang, Yunlong Liang, Fandong Meng, Haoxiang Shi, Zhixu Li, Jinan Xu, Jianfeng Qu, and Jie Zhou · 2023
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Can chatgpt understand too? a comparative study on chatgpt and fine-tuned bert
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, and Dacheng Tao · 2023
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