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Medical systematic reviews play a vital role in healthcare decision making and policy.
The medical review article: state of the science
Cynthia D Mulrow. 1987 · 1987
Earlier work this paper cites.
Evidence based medicine: what it is and what it isn’t
David L Sackett, William MC Rosenberg, JA Muir Gray, R Brian Haynes, and W Scott Richardson. 1996 · 1996
Earlier work this paper cites.
Systematic reviews: synthesis of best evidence for clinical decisions
Deborah J Cook, Cynthia D Mulrow, and R Brian Haynes. 1997 · 1997
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Design: cultural probes
Bill Gaver, Tony Dunne, and Elena Pacenti. 1999 · 1999
Earlier work this paper cites.
Updated method guidelines for systematic reviews in the cochrane collaboration back review group
Maurits Van Tulder, Andrea Furlan, Claire Bombardier, Lex Bouter, Editorial Board of the Cochrane Collaboration Back Review Group, et al. 2003 · 2003
Earlier work this paper cites.
Reducing workload in systematic review preparation using automated citation classification
Aaron M Cohen, William R Hersh, Kim Peterson, and Po-Yin Yen. 2006 · 2006
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Opening up nanotechnology dialogue with the publics: risk communication or ‘upstream engagement’?
Nick Pidgeon and Tee Rogers-Hayden. 2007 · 2007
Earlier work this paper cites.
How quickly do systematic reviews go out of date? a survival analysis
Kaveh G Shojania, Margaret Sampson, Mohammed T Ansari, Jun Ji, Steve Doucette, and David Moher. 2007 · 2007
Earlier work this paper cites.
Seventy-five trials and eleven systematic reviews a day: how will we ever keep up?
Hilda Bastian, Paul Glasziou, and Iain Chalmers. 2010 · 2010
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Meta-analysis in medical research
Anna-Bettina Haidich. 2010 · 2010
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Stakeholder engagement and dialogue
Jeffrey Unerman. 2010 · 2010
Earlier work this paper cites.
Active learning for biomedical citation screening
Byron C Wallace, Kevin Small, Carla E Brodley, and Thomas A Trikalinos. 2010 · 2010
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Thematic analysis
Virginia Braun and Victoria Clarke. 2012 · 2012
Earlier work this paper cites.
Perceptions of geoengineering: public attitudes, stakeholder perspectives, and the challenge of ‘upstream’engagement
Adam Corner, Nick Pidgeon, and Karen Parkhill. 2012 · 2012
Earlier work this paper cites.
Deploying an interactive machine learning system in an evidence-based practice center: abstrackr
Byron C Wallace, Kevin Small, Carla E Brodley, Joseph Lau, and Thomas A Trikalinos. 2012 · 2012
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Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory , fourth edition
Juliet Corbin and Anselm Strauss. 2014 · 2014
Earlier work this paper cites.
Automating risk of bias assessment for clinical trials
Iain J Marshall, Joël Kuiper, and Byron C Wallace. 2014 · 2014
Earlier work this paper cites.
Reducing systematic review workload through certainty-based screening
Makoto Miwa, James Thomas, Alison O’Mara-Eves, and Sophia Ananiadou. 2014 · 2014
Earlier work this paper cites.
Automating data extraction in systematic reviews: a systematic review
Siddhartha R Jonnalagadda, Pawan Goyal, and Mark D Huffman. 2015 · 2015
Earlier work this paper cites.
Interaction design: beyond human-computer interaction
Jennifer Preece, Helen Sharp, and Yvonne Rogers. 2015 · 2015
Cited alongside, same era.
Engineering quality and reliability in technology-assisted review
Gordon V Cormack and Maura R Grossman. 2016 · 2016
Cited alongside, same era.
Swift-review: a text-mining workbench for systematic review
Brian E Howard, Jason Phillips, Kyle Miller, Arpit Tandon, Deepak Mav, Mihir R Shah, Stephanie Holmgren, Katherine E Pelch, Vickie Walker, Andrew A Rooney, et al. 2016 · 2016
Cited alongside, same era.
Smartphone-based conversational agents and responses to questions about mental health, interpersonal violence, and physical health
Adam S Miner, Arnold Milstein, Stephen Schueller, Roshini Hegde, Christina Mangurian, and Eleni Linos. 2016 · 2016
Cited alongside, same era.
New evidence pyramid
M Hassan Murad, Noor Asi, Mouaz Alsawas, and Fares Alahdab. 2016 · 2016
Cited alongside, same era.
Rayyan—a web and mobile app for systematic reviews
Most cochrane reviews have not been updated for more than 5 years
Bodil Dalsgaard Hoffmeyer, Mikkel Zola Andersen, Siv Fonnes, and Jacob Rosenberg. 2021 · 2021
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Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity
Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, and Pontus Stenetorp. 2021 · 2021
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State of the evidence: a survey of global disparities in clinical trials
Iain James Marshall, Veline L’Esperance, Rachel Marshall, James Thomas, Anna Noel-Storr, Frank Soboczenski, Benjamin Nye, Ani Nenkova, and Byron C Wallace. 2021 · 2021
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Prompt programming for large language models: Beyond the few-shot paradigm
Laria Reynolds and Kyle McDonell. 2021 · 2021
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Generating (factual?) narrative summaries of rcts: Experiments with neural multi-document summarization
Byron C Wallace, Sayantan Saha, Frank Soboczenski, and Iain J Marshall. 2021 · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
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Mourad Ouzzani, Hossam Hammady, Zbys Fedorowicz, and Ahmed Elmagarmid. 2016 · 2016
Cited alongside, same era.
Extracting pico sentences from clinical trial reports using supervised distant supervision
Byron C Wallace, Joël Kuiper, Aakash Sharma, Mingxi Zhu, and Iain J Marshall. 2016 · 2016
Cited alongside, same era.
Patient and consumer safety risks when using conversational assistants for medical information: an observational study of siri, alexa, and google assistant
Timothy W Bickmore, Ha Trinh, Stefan Olafsson, Teresa K O’Leary, Reza Asadi, Nathaniel M Rickles, and Ricardo Cruz. 2018 · 2018
Cited alongside, same era.
Research waste is still a scandal—an essay by paul glasziou and iain chalmers
Paul Glasziou and Iain Chalmers. 2018 · 2018
Cited alongside, same era.
Can rapid approaches to qualitative analysis deliver timely, valid findings to clinical leaders? a mixed methods study comparing rapid and thematic analysis
Beck Taylor, Catherine Henshall, Sara Kenyon, Ian Litchfield, and Sheila Greenfield. 2018 · 2018
Cited alongside, same era.
Comparison of rapid vs in-depth qualitative analytic methods from a process evaluation of academic detailing in the veterans health administration
Randall C Gale, Justina Wu, Taryn Erhardt, Mark Bounthavong, Caitlin M Reardon, Laura J Damschroder, and Amanda M Midboe. 2019 · 2019
Cited alongside, same era.
Assessing risk of bias in a randomized trial
Julian PT Higgins, Jelena Savović, Matthew J Page, Roy G Elbers, and Jonathan AC Sterne. 2019 · 2019
Cited alongside, same era.
Later among the works it cites.
Stanford crfm introduces pubmedgpt 2.7b
Elliot Bolton, David Hall, Michihiro Yasunaga, Tony Lee, Chris Manning, and Percy Liang. 2022 · 2022
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Meta takes new ai system offline because twitter users are mean
Tristan Greene. 2022 · 2022
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Why meta’s latest large language model survived only three days online
Will Douglas Heaven. 2022 · 2022
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Chatgpt: Optimizing language models for dialogue
OpenAI. 2022 · 2022
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Characteristics of harmful text: Towards rigorous benchmarking of language models
Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Amelia Glaese, Geoffrey Irving, Iason Gabriel, et al. 2022 · 2022
Later among the works it cites.
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. 2022 · 2022
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Galactica: A large language model for science
Ross Taylor, Marcin Kardas, Guillem Cucurull, Thomas Scialom, Anthony Hartshorn, Elvis Saravia, Andrew Poulton, Viktor Kerkez, and Robert Stojnic. 2022 · 2022
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Overview of MSLR2022: A shared task on multi-document summarization for literature reviews
Lucy Lu Wang, Jay DeYoung, and Byron Wallace. 2022 · 2022
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Taxonomy of risks posed by language models
Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh, et al. 2022 · 2022
Later among the works it cites.
Close! galactica is dangerous because it mixes together truth and bullshit plausibly & at scale. you thought that nobody would notice or care, and then took your own judgments about risk as the only ones that were relevant. it’s that last part that comes across as arrogant
Gary Marcus. 2022 · 2023
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Are chatgpt and large language models “the answer” to bringing us closer to systematic review automation?
Riaz Qureshi, Daniel Shaughnessy, Kayden AR Gill, Karen A Robinson, Tianjing Li, and Eitan Agai. 2023 · 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 · 2023
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Can artificial intelligence help for scientific writing?
Michele Salvagno, Fabio Silvio Taccone, Alberto Giovanni Gerli, et al. 2023 · 2023
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Calibrate before use: Improving few-shot performance of language models
Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, and Sameer Singh. 2021 · 2023
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