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The past decade has been transformative for mental health research and practice.
“The role of social media in the advent of COVID-19 pandemic: crisis management, mental health challenges and implications”
Jaffar Abbas, Dake Wang, Zhaohui Su and Arash Ziapour · 1932
Earlier work this paper cites.
“Large language models in medicine”
Arun Thirunavukarasu, Darren Shu Ting, Kabilan Elangovan, Laura Gutierrez, Ting Tan and Daniel Shu Ting · 1940
Earlier work this paper cites.
“A computer method of psychotherapy: Preliminary communication”
Kenneth Colby, James Watt and John Gilbert · 1966
Earlier work this paper cites.
“Nonverbal communication and counseling/psychotherapy: A review”
Gerald Gladstein · 1974
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“Computer power and human reason: From judgment to calculation.”
Joseph Weizenbaum · 1976
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“The theory of affordances”
James Gibson · 1977
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“Computers as” Therapists””
Joseph Weizenbaum · 1977
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“The Psychiatrist’s Liability for Negligent Diagnosis”
Seymour Halleck and Seymour Halleck · 1980
Earlier work this paper cites.
“The illness narratives: Suffering, healing, and the human condition”
Arthur Kleinman · 1988
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“Predicting psychiatric emergency admissions and hospital outcome”
John Lyons, John Stutesman, Janice Neme, John Vessey, Michael O’Mahoney and H Camper · 1997
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“Affordance, conventions, and design”
Donald Norman · 1999
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“Principles of mixed-initiative user interfaces”
Eric Horvitz · 1999
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“Research summary on the therapeutic relationship and psychotherapy outcome.”
Michael Lambert and Dean Barley · 2001
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“Privacy as contextual integrity”
Helen Nissenbaum · 2004
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“Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems”
Svetlana Kiritchenko and Saif Mohammad · 2005
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“The empirical status of cognitive-behavioral therapy: A review of meta-analyses”
Andrew Butler, Jason Chapman, Evan Forman and Aaron Beck · 2006
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“The role of the therapeutic alliance in psychotherapy and pharmacotherapy outcome: Findings in the National Institute of Mental Health Treatment of Depression Collaborative Research Program”
Janice Krupnick, Stuart Sotsky, Irene Elkin, Sam Simmens, Janet Moyer, John Watkins and Paul Pilkonis · 2006
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“Emotion in psychotherapy: A practice-friendly research review”
Leslie Greenberg and Antonio Pascual-Leone · 2006
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“Gender disparity in analgesic treatment of emergency department patients with acute abdominal pain”
Esther Chen, Frances Shofer, Anthony Dean, Judd Hollander, William Baxt, Jennifer Robey, Keara Sease and Angela Mills · 2008
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“County-level estimates of mental health professional shortage in the United States”
Kathleen Thomas, Alan Ellis, Thomas Konrad, Charles Holzer and Joseph Morrissey · 2009
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“Cognitive-behavior therapy for severe mental illness: An illustrated guide”
Jesse Wright · 2009
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“Trust in mental health services: A neglected concept”
Patrick Brown, Michael Calnan, Amanda Scrivener and George Szmukler · 2009
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“Idioms of distress revisited”
Mark Nichter · 2010
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“What works for whom: Tailoring psychotherapy to the person”
John Norcross and Bruce Wampold · 2011
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“Attitudes towards mental disorders and emotional empathy in mental health and other healthcare professionals”
Georgina Gateshill, Kate Kucharska-Pietura and John Wattis · 2011
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“Predicting postpartum changes in emotion and behavior via social media”
Munmun De, Scott Counts and Eric Horvitz · 2013
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“Predicting depression via social media”
Munmun De, Michael Gamon, Scott Counts and Eric Horvitz · 2013
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“Examining the relationship between choice, therapeutic alliance and outcomes in mental health services”
Victoria Stanhope, Stacey Barrenger, Mark Salzer and Stephen Marcus · 2013
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“Race and schizophrenia diagnoses in four types of hospitals”
Arnold Barnes · 2013
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“Advantages and limitations of Internet-based interventions for common mental disorders”
Gerhard Andersson and Nickolai Titov · 2014
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“Systematic review of the Hawthorne effect: new concepts are needed to study research participation effects”
Jim McCambridge, John Witton and Diana Elbourne · 2014
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“Crisis intervention for people with severe mental illnesses”
Suzanne Murphy, Claire Irving, Clive Adams and Muhammad Waqar · 2015
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“Toward a complete dataset of drug–drug interaction information from publicly available sources”
Serkan Ayvaz, John Horn, Oktie Hassanzadeh, Qian Zhu, Johann Stan, Nicholas Tatonetti, Santiago Vilar, Mathias Brochhausen, Matthias Samwald and Majid Rastegar-Mojarad · 2015
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“Balancing patient care and confidentiality: considerations in obtaining collateral information”
Megan Petrik, Melodi Billera, Yuliya Kaplan, Bridget Matarazzo and Hal Wortzel · 2015
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“Large-scale analysis of counseling conversations: An application of natural language processing to mental health”
Tim Althoff, Kevin Clark and Jure Leskovec · 2016
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“Racial bias in pain assessment and treatment recommendations, and false beliefs about biological differences between blacks and whites”
Kelly Hoffman, Sophie Trawalter, Jordan Axt and M Oliver · 2016
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“Beyond patient-centered care: enhancing the patient experience in mental health services through patient-perspective care”
Timothy Carey · 2016
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“Linguistic markers indicating therapeutic outcomes of social media disclosures of schizophrenia”
Sindhu Ernala, Asra Rizvi, Michael Birnbaum, John Kane and Munmun De · 2017
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“A socio-ecological framework for mental health and well-being”
Andrea Reupert · 2017
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“Epistemic injustice and mental illness”
Anastasia Scrutton · 2017
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“Developing patient rapport, trust and therapeutic relationships”
Bob Price · 2017
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“Semantics derived automatically from language corpora contain human-like biases”
Aylin Caliskan, Joanna Bryson and Arvind Narayanan · 2017
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“Improving language understanding by generative pre-training”
Alec Radford, Karthik Narasimhan, Tim Salimans and Ilya Sutskever · 2018
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“Mental Health Support and its Relationship to Linguistic Accommodation in Online Communities”
Eva Sharma and Munmun De · 2018
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“Data mining algorithms and techniques in mental health: a systematic review”
Susel“’ongora Alonso, Isabel de La-D“’ez, Sofiane Hamrioui, Miguel L“’opez-Coronado, Diego Barreno, Lola“’on Nozaleda and Manuel Franco · 2018
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“The role of prediction in suicide prevention”
Matthew Large · 2018
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“Natural language processing of social media as screening for suicide risk”
Glen Coppersmith, Ryan Leary, Patrick Crutchley and Alex Fine · 2018
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“Fine-tuning language models from human preferences”
Daniel Ziegler, Nisan Stiennon, Jeffrey Wu, Tom Brown, Alec Radford, Dario Amodei, Paul Christiano and Geoffrey Irving · 2019
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“Who is the ”Human” in Human-Centered Machine Learning: The Case of Predicting Mental Health from Social Media”
Stevie Chancellor, Eric Baumer and Munmun De · 2019
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“Chatbots and conversational agents in mental health: a review of the psychiatric landscape”
Aditya Vaidyam, Hannah Wisniewski, John Halamka, Matcheri Kashavan and John Torous · 2019
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“An overview of the features of chatbots in mental health: A scoping review”
Alaa Abd-Alrazaq, Mohannad Alajlani, Ali Alalwan, Bridgette Bewick, Peter Gardner and Mowafa Househ · 2019
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“Dissecting racial bias in an algorithm used to manage the health of populations”
Ziad Obermeyer, Brian Powers, Christine Vogeli and Sendhil Mullainathan · 2019
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“A social media study on the effects of psychiatric medication use”
Koustuv Saha, Benjamin Sugar, John Torous, Bruno Abrahao, Emre Kcman and Munmun De · 2019
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“Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from facebook”
Michael Birnbaum, Sindhu Ernala, AF Rizvi, Elizabeth Arenare, A R., M De and John Kane · 2019
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“Discovering Alternative Treatments for Opioid Use Recovery Using Social Media”
Stevie Chancellor, George Nitzburg, Andrea Hu, Francesco Zampieri and Munmun De · 2019
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“Influence of race/ethnicity on prevalence and presentation of endometriosis: a systematic review and meta-analysis”
Olga Bougie, Ma Yap, Lindsey Sikora, Teresa Flaxman and Sukhbir Singh · 2019
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“Racial and ethnic disparities in the management of acute pain in US emergency departments: meta-analysis and systematic review”
Paulyne Lee, Maxine Le, Rebecca Siegel, Monika Goyal, Chen Chen, Yan Ma and Andrew Meltzer · 2019
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“Measuring Bias in Contextualized Word Representations”
Keita Kurita, Nidhi Vyas, Ayush Pareek, Alan Black and Yulia Tsvetkov · 2019
Cited alongside, same era.
“Assessing social and intersectional biases in contextualized word representations”
Yi Tan and L Celis · 2019
Cited alongside, same era.
“Model cards for model reporting”
Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Raji and Timnit Gebru · 2019
Cited alongside, same era.
“Methods in predictive techniques for mental health status on social media: a critical review”
Stevie Chancellor and Munmun De · 2020
Cited alongside, same era.
“Development of a machine learning model using multiple, heterogeneous data sources to estimate weekly US suicide fatalities”
Daejin Choi, Steven Sumner, Kristin Holland, John Draper, Sean Murphy, Daniel Bowen, Marissa Zwald, Jing Wang, Royal Law and Jordan Taylor · 2020
Cited alongside, same era.
“Beyond the hype: large language models propagate race-based medicine”
Jesutofunmi Omiye, Jenna Lester, Simon Spichak, Veronica Rotemberg and Roxana Daneshjou · 2023
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“How a Chatbot Went Rogue”
Julie Jargon · 2023
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“Eating Disorder Helpline Fires Staff, Transitions to Chatbot After Unionization”
Chloe Xiang · 2023
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“’He Would Still Be Here’: Man Dies by Suicide After Talking with AI Chatbot, Widow Says”
Chloe Xiang · 2023
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“Can Language Models be Instructed to Protect Personal Information?”
Yang Chen, Ethan Mendes, Sauvik Das, Wei Xu and Alan Ritter · 2023
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“Synthetic lies: Understanding ai-generated misinformation and evaluating algorithmic and human solutions”
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“Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems”
Anja Thieme, Danielle Belgrave and Gavin Doherty · 2020
Cited alongside, same era.
“The effectiveness of crisis line services: a systematic review”
Adam Hoffberg, Kelly Stearns-Yoder and Lisa Brenner · 2020
Cited alongside, same era.
“” Like Shock Absorbers”: understanding the human infrastructures of technology-mediated mental health support”
Sachin Pendse, Faisal Lalani, Munmun De, Amit Sharma and Neha Kumar · 2020
Cited alongside, same era.
“AI-Powered mental health chatbots: Examining users’ motivations, active communicative action and engagement after mass-shooting disasters”
Yang Cheng and Hua Jiang · 2020
Cited alongside, same era.
“Why do people call crisis helplines? Identifying taxonomies of presenting reasons and discovering associations between these reasons”
Robin Turkington, Maurice Mulvenna, Raymond Bond, Siobhan O’Neill, Courtney Potts, Cherie Armour, Edel Ennis and Catherine Millman · 2020
Cited alongside, same era.
“Do models of mental health based on social media data generalize?”
Keith Harrigian, Carlos Aguirre and Mark Dredze · 2020
Cited alongside, same era.
“Suicide prediction models: a critical review of recent research with recommendations for the way forward”
Ronald Kessler, Robert Bossarte, Alex Luedtke, Alan Zaslavsky and Jose Zubizarreta · 2020
Cited alongside, same era.
Jiawei Zhou, Yixuan Zhang, Qianni Luo, Andrea Parker and Munmun De · 2023
Closest in time.
“Fake news? ChatGPT has a knack for making up phony anonymous sources” Accessed: 2023-11-03
Chris Glorioso · 2023
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“Disinformation researchers raise alarms about A.I. Chatbots”, The New York Times, 2023
Tiffany. Hsu and Stuart.. Thompson · 2023
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“It turns out that ChatGPT is really good at creating online propaganda: ’I think what’s clear is that in the wrong hands there’s going to be a lot of trouble”’, Fortune, 2023
David Klepper · 2023
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“ChatGPT Is a Blurry JPEG of the Web”
Ted Chiang · 2023
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“Generative AI and Mental Health”
Tom Insel · 2023
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“Can A.I. Treat Mental Illness? — newyorker.com” [Accessed 06-11-2023],
Dhruv Khullar · 2023
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Zilin Ma, Yiyang Mei and Zhaoyuan Su · 2023
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“Leveraging symptom search data to understand disparities in US mental health care: demographic analysis of search engine trace data”
Ben Rochford, Sachin Pendse, Neha Kumar and Munmun De · 2023
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“Marginalization and the Construction of Mental Illness Narratives Online: Foregrounding Institutions in Technology-Mediated Care”
Sachin Pendse, Neha Kumar and Munmun De · 2023
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“Little Treatments, Big Effects: How to Build Meaningful Moments that Can Transform Your Mental Health”
Jessica Schleider · 2023
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“Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback”
Shang-Ling Hsu, Raj Shah, Prathik Senthil, Zahra Ashktorab, Casey Dugan, Werner Geyer and Diyi Yang · 2023
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“Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support”
Ashish Sharma, Inna Lin, Adam Miner, David Atkins and Tim Althoff · 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
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“De-humanizing Care: An Ethnography of Mental Health Artificial Intelligence”, 2023
Valerie Black · 2023
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“Data Brokers and the Sale of Americans’ Mental Health Data: The Exchange of Our Most Sensitive Data and What It Means for Personal Privacy”
Joanne Kim · 2023
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“FTC to Ban BetterHelp from Revealing Consumers’ Data, Including Sensitive Mental Health Information, to Facebook and Others for Targeted Advertising”
Federal Trade Commission · 2023
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“How the new 988 lifeline is helping millions in mental health crisis”
Melissa Suran · 2023
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“National preparedness for 988—the new mental health emergency hotline in the United States”
Samantha Matthews, Jonathan Cantor, Stephanie Holliday, Armenda Bialas, Nicole Eberhart, Joshua Breslau and Ryan McBain · 2023
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“Crisis lines: current status and recommendations for research and policy”
Sasha Zabelski, Andr“’ea Kaniuka, Ryan A. and Robert Cramer · 2023
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“Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts”
Mounica Maddela, Megan Ung, Jing Xu, Andrea Madotto, Heather Foran and Y-Lan Boureau · 2023
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“The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers”
Hanlin Li, Nicholas Vincent, Stevie Chancellor and Brent Hecht · 2023
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“Feasibility of differential diagnosis based on imaging patterns using a large language model”
Jonathan Kottlors, Grischa Bratke, Philip Rauen, Christoph Kabbasch, Thorsten Persigehl, Marc Schlamann and Simon Lennartz · 2023
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“The utility of language models in cardiology: a narrative review of the benefits and concerns of ChatGPT-4”
Dhir Gala and Amgad Makaryus · 2023
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“The future landscape of large language models in medicine”
Jan Clusmann, Fiona Kolbinger, Hannah Muti, Zunamys Carrero, Jan-Niklas Eckardt, Narmin Laleh, Chiara Maria L“”offler, Sophie-Caroline Schwarzkopf, Michaela Unger and Gregory Veldhuizen · 2023
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“Leveraging ChatGPT to Democratize and Decolonize Global Surgery: Large Language Models for Small Healthcare Budgets”
Fabio Botelho, Jean Tshimula and Dan Poenaru · 2023
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Yiqiao Jin, Mohit Chandra, Gaurav Verma, Yibo Hu, Munmun Choudhury and Srijan Kumar · 2023
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“Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models”
Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang and Yulong Chen · 2023
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“The ChatGPT therapist will see you now: Navigating generative artificial intelligence’s potential in addiction medicine research and patient care”
Steven Tate, Sajjad Fouladvand, Jonathan Chen and Chwen-Yuen Chen · 2023
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“Can Large Language Models Transform Computational Social Science?”
Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang and Diyi Yang · 2023
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“AI Chatbots in Digital Mental Health”
Luke Balcombe · 2023
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“Generative AI in health care and liability risks for physicians and safety concerns for patients”
Mindy Duffourc and Sara Gerke · 2023
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“Autonomous AI systems in the face of liability, regulations and costs”
Agustina Saenz, Zach Harned, Oishi Banerjee, Michael Abr“‘amoff and Pranav Rajpurkar · 2023
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“Artificial intelligence in healthcare: Complementing, not replacing, doctors and healthcare providers”
Emre Sezgin · 2023
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“Large Language Models and Medical Education: Preparing for a Rapid Transformation in How Trainees Will Learn to Be Doctors”
Akshay Ravi, Aaron Neinstein and Sara Murray · 2023
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“The role of large language models in medical education: applications and implications”
Conrad Safranek, Anne Sidamon-Eristoff, Aidan Gilson and David Chartash · 2023
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“ChatGPT in Healthcare: A Taxonomy and Systematic Review”
Jianning Li, Amin Dada, Jens Kleesiek and Jan Egger · 2023
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“The shaky foundations of large language models and foundation models for electronic health records”
Michael Wornow, Yizhe Xu, Rahul Thapa, Birju Patel, Ethan Steinberg, Scott Fleming, Michael Pfeffer, Jason Fries and Nigam Shah · 2023
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“ChatGPT for good? On opportunities and challenges of large language models for education”
Enkelejda Kasneci, Kathrin Seler, Stefan K“”uchemann, Maria Bannert, Daryna Dementieva, Frank Fischer, Urs Gasser, Georg Groh, Stephan G“”unnemann and Eyke H“”ullermeier · 2023
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“Generative Artificial Intelligence Tools in Medicine Will Amplify Stigmatizing Language”
Steven Tate · 2023
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“The incidence and disparities in use of stigmatizing language in clinical notes for patients with substance use disorder”
Scott Weiner, Ying-Chih Lo, Aleta Carroll, Li Zhou, Ashley Ngo, David Hathaway, Claudia Rodriguez and Sarah Wakeman · 2023
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“Using large language models in psychology”
Dorottya Demszky, Diyi Yang, David Yeager, Christopher Bryan, Margarett Clapper, Susannah Chandhok, Johannes Eichstaedt, Cameron Hecht, Jeremy Jamieson and Meghann Johnson · 2023
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“A Systematic Review of Ethics Disclosures in Predictive Mental Health Research”
Leah Ajmani, Stevie Chancellor, Bijal Mehta, Casey Fiesler, Michael Zimmer and Munmun De · 2023
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“The case for and against open-source large language models for use in newsrooms — digiday.com” [Accessed 05-11-2023],
Sara Guaglione · 2023
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“Council Post: From Boring And Safe To Exciting And Dangerous: Why Large Language Models Need To Be Regulated — forbes.com” [Accessed 05-11-2023],
Stefan Harrer · 2023
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“Joint Statement on AI Safety and Openness — open.mozilla.org” [Accessed 05-11-2023],
2023
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“Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence” Accessed: 2023-11-03, The White House, 2023
Joe Biden · 2023
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“Press corner — ec.europa.eu” [Accessed 06-11-2023],
2023
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“The imperative for regulatory oversight of large language models (or generative AI) in healthcare”
Bertalan Mesk“’o and Eric Topol · 2023
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“Empatica’s Platform Receives New FDA Clearance for Cardiac Digital Biomarkers”, 2023
Empatica · 2023
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“Missed Opportunities for Human-Centered AI Research: Understanding Stakeholder Collaboration in Mental Health AI Research”
Dong Yoo, Hayoung Woo, Sachin. Pendse, Nathaniel Lu, Michael. Birnbaum, Gregory Abowd and Munmun De · 2024
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“Discovering shifts to suicidal ideation from mental health content in social media”
Munmun De, Emre Kiciman, Mark Dredze, Glen Coppersmith and Mrinal Kumar · 2098
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