Validity, Reliability, and Bias

Selection Bias in Digital Conversations on Depression Before and During COVID-19

Edward Lee, Davin Agustines, Benjamin K P Woo

JMIR Form Res 2023 (Nov 20); 7:e42545

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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, Yusuke Tsugawa

JMIR Med Educ 2023 (Nov 02); 9:e47532

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The Feasibility and Reliability of Upper Arm–Worn Apple Watch Heart Rate Monitoring for Surgeons During Surgery: Observational Study

Kazunosuke Yamada, Yasuaki Enokida, Ryuji Kato, Jun Imaizumi, Takahiro Takada, Hitoshi Ojima

JMIR Hum Factors 2023 (Nov 01); 10:e50891

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Web-Based Cognitive Bias Modification Program for Young People With Social Anxiety and Hazardous Alcohol Use: Feasibility, Acceptability, and Preliminary Efficacy Study

Katrina Prior, Elske Salemink, Monique Piggott, Victoria Manning, Reinout W Wiers, Bethany A Teachman, Maree Teesson, Andrew J Baillie, Alison Mahoney, Lauren McLellan, Nicola C Newton, Lexine A Stapinski

JMIR Form Res 2023 (Oct 25); 7:e46008

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Can AI Mitigate Bias in Writing Letters of Recommendation?

Tiffany I Leung, Ankita Sagar, Swati Shroff, Tracey L Henry

JMIR Med Educ 2023 (Aug 23); 9:e51494

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Changes in Learning From Social Feedback After Web-Based Interpretation Bias Modification: Secondary Analysis of a Digital Mental Health Intervention Among Individuals With High Social Anxiety Symptoms

Miranda L Beltzer, Katharine E Daniel, Alexander R Daros, Bethany A Teachman

JMIR Form Res 2023 (Aug 09); 7:e44888

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The Characteristics, Uses, and Biases of Studies Related to Malignancies Using Google Trends: Systematic Review

Mikołaj Kamiński, Jakub Czarny, Piotr Skrzypczak, Krzysztof Sienicki, Magdalena Roszak

J Med Internet Res 2023 (Aug 04); 25:e47582

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Accuracy and Reliability of a Suite of Digital Measures of Walking Generated Using a Wrist-Worn Sensor in Healthy Individuals: Performance Characterization Study

Nathan Kowahl, Sooyoon Shin, Poulami Barman, Erin Rainaldi, Sara Popham, Ritu Kapur

JMIR Hum Factors 2023 (Aug 03); 10:e48270

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Author’s Reply to: Environmental Influence and Recruitment Bias in Studies on Internet Addiction. Comment on “Addiction Symptom Network of Young Internet Users: Network Analysis”

Hui Zheng

J Med Internet Res 2023 (Jul 11); 25:e45607

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Environmental Influence and Recruitment Bias in Studies on Internet Addiction. Comment on “Addiction Symptom Network of Young Internet Users: Network Analysis”

Ting Yun Huang, Yung-Po Liaw

J Med Internet Res 2023 (Jul 11); 25:e44438

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Risk of Bias Mitigation for Vulnerable and Diverse Groups in Community-Based Primary Health Care Artificial Intelligence Models: Protocol for a Rapid Review

Maxime Sasseville, Steven Ouellet, Caroline Rhéaume, Vincent Couture, Philippe Després, Jean-Sébastien Paquette, Karine Gentelet, David Darmon, Frédéric Bergeron, Marie-Pierre Gagnon

JMIR Res Protoc 2023 (Jun 26); 12:e46684

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Artificial Intelligence Bias in Health Care: Web-Based Survey

Carina Nina Vorisek, Caroline Stellmach, Paula Josephine Mayer, Sophie Anne Ines Klopfenstein, Dominik Martin Bures, Anke Diehl, Maike Henningsen, Kerstin Ritter, Sylvia Thun

J Med Internet Res 2023 (Jun 22); 25:e41089

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Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study

David Solans Noguero, Diana Ramírez-Cifuentes, Esteban Andrés Ríssola, Ana Freire

J Med Internet Res 2023 (Jun 08); 25:e45184

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Cognitive Bias Modification Training Targeting Fatigue in Patients With Kidney Disease: Usability Study

Jody Geerts, Marcel Pieterse, Goos Laverman, Femke Waanders, Nicole Oosterom, Jacqueline Slegten, Elske Salemink, Christina Bode

JMIR Form Res 2023 (May 29); 7:e43636

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Serious Games Based on Cognitive Bias Modification and Learned Helplessness Paradigms for the Treatment of Depression: Design and Acceptability Study

Arka Ghosh, Jagriti Agnihotri, Sradha Bhalotia, Bharat Kumar Sati, Latika Agarwal, Akash A, Swastika Tandon, Komal Meena, Shreyash Raj, Yatin Azad, Silky Gupta, Nitin Gupta

JMIR Serious Games 2023 (May 03); 11:e37105

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Removing Biases in Communication of Severity Assessments of Intimate Partner Violence: Model Development and Evaluation

Sverker Sikstrom, Mats Dahl, Emma Claesdotter-Knutsson

J Med Internet Res 2023 (Apr 28); 25:e43499

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Human-Centered Design to Address Biases in Artificial Intelligence

You Chen, Ellen Wright Clayton, Laurie Lovett Novak, Shilo Anders, Bradley Malin

J Med Internet Res 2023 (Mar 24); 25:e43251

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Opt-In and Opt-Out Consent Procedures for the Reuse of Routinely Recorded Health Data in Scientific Research and Their Consequences for Consent Rate and Consent Bias: Systematic Review

Yvonne de Man, Yvonne Wieland-Jorna, Bart Torensma, Koos de Wit, Anneke L Francke, Mariska G Oosterveld-Vlug, Robert A Verheij

J Med Internet Res 2023 (Feb 28); 25:e42131

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Black and Latinx Primary Caregiver Considerations for Developing and Implementing a Machine Learning–Based Model for Detecting Child Abuse and Neglect With Implications for Racial Bias Reduction: Qualitative Interview Study With Primary Caregivers

Aviv Y Landau, Ashley Blanchard, Nia Atkins, Stephanie Salazar, Kenrick Cato, Desmond U Patton, Maxim Topaz

JMIR Form Res 2023 (Jan 31); 7:e40194

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