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Large language models (LLMs) are already being piloted for clinical use in hospital systems like NYU Langone, Dana-Farber and the NHS.
Eliza—a computer program for the study of natural language communication between man and machine
Joseph Weizenbaum. 1966 · 1966
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The dissemination of empirically supported treatments: a view to the future
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Testing the implicit-explicit model of racialized political communication
Gregory A. Huber and J. Lapinski. 2008 · 2008
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Statistical power analyses using g*power 3.1: Tests for correlation and regression analyses
Franz Faul, Edgar Erdfelder, Axel Buchner, and Albert-Georg Lang. 2009 · 2009
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Mind the gap: Improving the dissemination of cbt
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Scikit-learn: Machine learning in Python
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Motivational interviewing: moving from why to how with autonomy support
Kenneth Resnicow and Fiona McMaster. 2012 · 2012
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Developing age and gender predictive lexica over social media
Maarten Sap, Gregory Park, Johannes Eichstaedt, Margaret Kern, David Stillwell, Michal Kosinski, Lyle Ungar, and Hansen Andrew Schwartz. 2014 · 2014
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Demographic dialectal variation in social media: A case study of African-American English
Su Lin Blodgett, Lisa Green, and Brendan O’Connor. 2016 · 2016
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The motivational interviewing treatment integrity code (miti 4): Rationale, preliminary reliability and validity
Theresa B. Moyers, Lauren N. Rowell, Jennifer K Manuel, Denise B. Ernst, and Jon M. Houck. 2016 · 2016
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The future of mental health care: peer-to-peer support and social media
John A. Naslund, Kelly A. Aschbrenner, Lisa A. Marsch, and Stephen J. Bartels. 2016 · 2016
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Race as a bundle of sticks: Designs that estimate effects of seemingly immutable characteristics
Maya Sen and Omar Wasow. 2016 · 2016
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Acceptance and commitment therapy: a transdiagnostic behavioral intervention for mental health and medical conditions
Lilian Dindo, Julia R Van Liew, and Joanna J Arch. 2017 · 2017
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Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (woebot): A randomized controlled trial
Kathleen Kara Fitzpatrick, Alison M Darcy, and Molly Vierhile. 2017 · 2017
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Matt J. Kusner, Joshua R. Loftus, Chris Russell, and Ricardo Silva. 2017 · 2017
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Towards an artificially empathic conversational agent for mental health applications: System design and user perceptions
Robert R. Morris, Kareem Kouddous, Rohan Kshirsagar, and Stephen Matthew Schueller. 2018 · 2018
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
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Responsible research with crowds: pay crowdworkers at least minimum wage
M. S. Silberman, B. Tomlinson, R. LaPlante, J. Ross, L. Irani, and A. Zaldivar. 2018 · 2018
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The risk of racial bias in hate speech detection
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, and Noah A. Smith. 2019 · 2019
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Getting explicit about implicit bias
Jeffrey Rachlinski, Andrew J. Wistrich, and Bernice B. Donald. 2020 · 2020
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Racial inequality in psychological research: Trends of the past and recommendations for the future
Steven O. Roberts, Carmelle Bareket-Shavit, Forrest A Dollins, Peter D. Goldie, and Elizabeth Mortenson. 2020 · 2020
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A computational approach to understanding empathy expressed in text-based mental health support
Ashish Sharma, Adam S. Miner, David C. Atkins, and Tim Althoff. 2020 · 2020
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Artificial intelligence in mental health and the biases of language based models
Isabel Straw and Chris Callison-Burch. 2020 · 2020
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SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, C J Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, and SciPy 1.0 Contributors. 2020 · 2020
The accuracy and potential racial and ethnic biases of gpt-4 in the diagnosis and triage of health conditions: Evaluation study
Naoki Ito, Sakina Kadomatsu, Mineto Fujisawa, Kiyomitsu Fukaguchi, Ryo Ishizawa, Naoki Kanda, Daisuke Kasugai, Mikio Nakajima, Tadahiro Goto, and Yusuke Tsugawa. 2023 · 2023
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Large language models propagate race-based medicine
Jesutofunmi A. Omiye, Jenna C. Lester, Simon Spichak, Veronica M Rotemberg, and Roxana Daneshjou. 2023 · 2023
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Gpt-4 technical report
OpenAI. 2023 · 2023
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Cognitive reframing of negative thoughts through human-language model interaction
Ashish Sharma, Kevin Rushton, Inna Lin, David Wadden, Khendra Lucas, Adam Miner, Theresa Nguyen, and Tim Althoff. 2023 · 2023
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Artificial intelligence will change the future of psychotherapy: A proposal for responsible, psychologist-led development
Elizabeth Stade, Shannon Stirman, Lyle Ungar, H. Schwartz, David Yaden, João Sedoc, Robert DeRubeis, Robb Willer, and johannes Eichstaedt. 2023 · 2023
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
Cited alongside, same era.
Gender and racial fairness in depression research using social media
Carlos Aguirre, Keith Harrigian, and Mark Dredze. 2021 · 2021
Cited alongside, same era.
Ethical and social risks of harm from language models
Laura Weidinger, John F. J. Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, Zachary Kenton, Sande Minnich Brown, William T. Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William S. Isaac, Sean Legassick, Geoffrey Irving, and Iason Gabriel. 2021 · 2021
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Write it like you see it: Detectable differences in clinical notes by race lead to differential model recommendations
Hammaad Adam, Ming Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, and Marzyeh Ghassemi. 2022b · 2022
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Ai recognition of patient race in medical imaging: a modelling study
Judy Wawira Gichoya, Imon Banerjee, Ananth Reddy Bhimireddy, John Lee Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P. Lungren, Lyle J. Palmer, Brandon Price, Saptarshi Purkayastha, Ayis Pyrros, Lauren Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zach Zaiman, and Haoran Zhang. 2022 · 2022
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Gendered mental health stigma in masked language models
Inna Lin, Lucille Njoo, Anjalie Field, Ashish Sharma, Katharina Reinecke, Tim Althoff, and Yulia Tsvetkov. 2022 · 2022
Cited alongside, same era.
Inducing positive perspectives with text reframing
Caleb Ziems, Minzhi Li, Anthony Zhang, and Diyi Yang. 2022 · 2022
Cited alongside, same era.
Belgian man dies by suicide following exchanges with chatbot
Lauren Walker. 2023 · 2023
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Decodingtrust: A comprehensive assessment of trustworthiness in gpt models
Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zi-Han Lin, Yuk-Kit Cheng, Sanmi Koyejo, Dawn Xiaodong Song, and Bo Li. 2023 · 2023
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Mental-llm: Leveraging large language models for mental health prediction via online text data
Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, Saadia Gabriel, Hongfeng Yu, James A. Hendler, Marzyeh Ghassemi, Anind K. Dey, and Dakuo Wang. 2023 · 2023
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Mentalllama: Interpretable mental health analysis on social media with large language models
Kailai Yang, Tianlin Zhang, Ziyan Kuang, Qianqian Xie, and Sophia Ananiadou. 2023 · 2023
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Coding inequity: Assessing gpt-4’s potential for perpetuating racial and gender biases in healthcare
Travis Zack, Eric P. Lehman, Mirac Suzgun, Jorge Alberto Rodriguez, Leo Anthony Celi, Judy Gichoya, Daniel Jurafsky, Peter Szolovits, D. Bates, E. Raja-Elie, Abdulnour, Atul Janardhan Butte, and Emily Alsentzer. 2023 · 2023
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Can large language models transform computational social science?
Caleb Ziems, William B. Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, and Diyi Yang. 2023 · 2023
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Physician and artificial intelligence chatbot responses to cancer questions from social media
David Chen, Rod Parsa, Andrew Hope, Breffni Hannon, Ernie Mak, Lawson Eng, Fei-Fei Liu, Nazanin Fallah-rad, Ann M. Heesters, and Srinivas Raman. 2024 · 2024
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