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The quickly-expanding nature of published medical literature makes it challenging for clinicians and researchers to keep up with and summarize recent, relevant findings in a timely manner.
Supporting infobuttons with terminological knowledge
James J Cimino, Gai Elhanan, and Qing Zeng · 1997
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
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Information-seeking behaviors of practitioners in a primary care practice-based research network (pbrn)
James E Andrews, Kevin A Pearce, Carol Ireson, and Margaret M Love · 2005
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Answering physicians’ clinical questions: obstacles and potential solutions
John W Ely, Jerome A Osheroff, M Lee Chambliss, Mark H Ebell, and Marcy E Rosenbaum · 2005
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Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie · 2005
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Association of a clinical knowledge support system with improved patient safety, reduced complications and shorter length of stay among medicare beneficiaries in acute care hospitals in the united states
Peter A Bonis, Gary T Pickens, David M Rind, and David A Foster · 2008
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Systematic reviews to support evidence-based medicine
Khalid Khan, Regina Kunz, Jos Kleijnen, and Gerd Antes · 2011
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Enabling health care decisionmaking through clinical decision support and knowledge management
David Lobach, Gillian D Sanders, Tiffani J Bright, Anthony Wong, Ravi Dhurjati, Erin Bristow, Lori Bastian, Remy Coeytaux, Gregory Samsa, Vic Hasselblad, et al · 2012
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Use of uptodate and outcomes in us hospitals
Thomas Isaac, Jie Zheng, and Ashish Jha · 2012
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Relationship of electronic medical knowledge resource use and practice characteristics with internal medicine maintenance of certification examination scores
Darcy A Reed, Colin P West, Eric S Holmboe, Andrew J Halvorsen, Rebecca S Lipner, Carola Jacobs, and Furman S McDonald · 2012
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Clinical questions raised by clinicians at the point of care: a systematic review
Guilherme Del Fiol, T Elizabeth Workman, and Paul N Gorman · 2014
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Improvements to bm25 and language models examined
Andrew Trotman, Antti Puurula, and Blake Burgess · 2014
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chrf: character n-gram f-score for automatic mt evaluation
Maja Popović · 2015
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Scientific literature: Information overload
Esther Landhuis · 2016
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CharacTer: Translation edit rate on character level
Weiyue Wang, Jan-Thorsten Peter, Hendrik Rosendahl, and Hermann Ney · 2016
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Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the prospero registry
Rohit Borah, Andrew W Brown, Patrice L Capers, and Kathryn A Kaiser · 2017
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Context-sensitive decision support (infobuttons) in electronic health records: a systematic review
David A Cook, Miguel T Teixeira, Bret SE Heale, James J Cimino, and Guilherme Del Fiol · 2017
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Generating better queries for systematic reviews
Harrisen Scells and Guido Zuccon · 2018
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Pubmedqa: A dataset for biomedical research question answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W Cohen, and Xinghua Lu · 2019
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi · 2019
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How to keep up to date with medical information using web-based resources: A systematised review and narrative synthesis
Konstantinos I Bougioukas, Emmanouil C Bouras, Konstantinos I Avgerinos, Theodore Dardavessis, and Anna-Bettina Haidich · 2020
Cited alongside, same era.
Clinical information seeking behavior of physicians: A systematic review
Azra Daei, Mohammad Reza Soleymani, Hasan Ashrafi-Rizi, Ali Zargham-Boroujeni, and Roya Kelishadi · 2020
Cited alongside, same era.
Consumer health information and question answering: helping consumers find answers to their health-related information needs
Dina Demner-Fushman, Yassine Mrabet, and Asma Ben Abacha · 2020
Cited alongside, same era.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
Consensus, 2023
Consensus · 2023
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Openevidence: Making medical knowledge more useful, open, accessible, and understandable, 2023
OpenEvidence · 2023
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statpearls semantic search, 2023
Hippocratic AI · 2023
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Chatgpt utility in healthcare education, research, and practice: Systematic review on the promising perspectives and valid concerns
Malik Sallam · 2023
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Nlg evaluation metrics beyond correlation analysis: An empirical metric preference checklist
Iftitahu Ni’mah, Meng Fang, Vlado Menkovski, and Mykola Pechenizkiy · 2023
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Medalign: A clinician-generated dataset for instruction following with electronic medical records
alphaXiv searches the wider corpus for related work and actual follow-ups.
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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, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
Cited alongside, same era.
Comet: A neural framework for mt evaluation
Ricardo Rei, Craig Stewart, Ana C Farinha, and Alon Lavie · 2020
Cited alongside, same era.
An open source machine learning framework for efficient and transparent systematic reviews
Rens Van De Schoot, Jonathan De Bruin, Raoul Schram, Parisa Zahedi, Jan De Boer, Felix Weijdema, Bianca Kramer, Martijn Huijts, Maarten Hoogerwerf, Gerbrich Ferdinands, et al · 2021
Cited alongside, same era.
Scite: A smart citation index that displays the context of citations and classifies their intent using deep learning
Josh M Nicholson, Milo Mordaunt, Patrice Lopez, Ashish Uppala, Domenic Rosati, Neves P Rodrigues, Peter Grabitz, and Sean C Rife · 2021
Cited alongside, same era.
Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P Xing, and Zhiting Hu · 2021
Cited alongside, same era.
Towards a unified multi-dimensional evaluator for text generation
Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, and Jiawei Han · 2022
Cited alongside, same era.
Fine-tuning language models to find agreement among humans with diverse preferences
Michiel Bakker, Martin Chadwick, Hannah Sheahan, Michael Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt Botvinick, et al · 2022
Cited alongside, same era.
Scott L Fleming, Alejandro Lozano, William J Haberkorn, Jenelle A Jindal, Eduardo P Reis, Rahul Thapa, Louis Blankemeier, Julian Z Genkins, Ethan Steinberg, Ashwin Nayak, et al · 2023
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Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al · 2023
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Chatgpt utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns
Malik Sallam · 2023
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The role of chatgpt, generative language models, and artificial intelligence in medical education: a conversation with chatgpt and a call for papers
Gunther Eysenbach et al · 2023
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Evaluating the feasibility of chatgpt in healthcare: an analysis of multiple clinical and research scenarios
Marco Cascella, Jonathan Montomoli, Valentina Bellini, and Elena Bignami · 2023
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Assessing the potential of usmle-like exam questions generated by gpt-4
Scott L Fleming, Keith Morse, Aswathi M Kumar, Chia-Chun Chiang, Birju Patel, Emma P Brunskill, and Nigam Shah · 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
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Claude 2, 2023
Anthropic · 2023
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Almanac: Retrieval-augmented language models for clinical medicine
William Hiesinger, Cyril Zakka, Akash Chaurasia, Rohan Shad, Alex Dalal, Jennifer Kim, Michael Moor, Kevin Alexander, Euan Ashley, Jack Boyd, et al · 2023
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Improving accuracy of gpt-3/4 results on biomedical data using a retrieval-augmented language model
David Soong, Sriram Sridhar, Han Si, Jan-Samuel Wagner, Ana Caroline Costa Sá, Christina Y Yu, Kubra Karagoz, Meijian Guan, Hisham Hamadeh, and Brandon W Higgs · 2023
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Database resources of the national center for biotechnology information in 2023
Eric W Sayers, Evan E Bolton, J Rodney Brister, Kathi Canese, Jessica Chan, Donald C Comeau, Catherine M Farrell, Michael Feldgarden, Anna M Fine, Kathryn Funk, et al · 2023
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Capabilities of gpt-4 on medical challenge problems
Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, and Eric Horvitz · 2023
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