Validity, Reliability, and Bias

Advantages and Inconveniences of a Multi-Agent Large Language Model System to Mitigate Cognitive Biases in Diagnostic Challenges

Cedric Bousquet, Divà Beltramin

J Med Internet Res 2025 (Jan 20); 27:e69742

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Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review

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

J Med Internet Res 2025 (Jan 07); 27:e60269

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Association Between Intergenerational Support, Technology Perception and Trust, and Intention to Seek Medical Care on the Internet Among Chinese Older Adults: Cross-Sectional Questionnaire Study

Hengjiang Jin, Ying Qu

J Med Internet Res 2025 (Jan 06); 27:e65065

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Use of ChatGPT to Explore Gender and Geographic Disparities in Scientific Peer Review

Paul Sebo

J Med Internet Res 2024 (Dec 09); 26:e57667

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Mitigating Cognitive Biases in Clinical Decision-Making Through Multi-Agent Conversations Using Large Language Models: Simulation Study

Yuhe Ke, Rui Yang, Sui An Lie, Taylor Xin Yi Lim, Yilin Ning, Irene Li, Hairil Rizal Abdullah, Daniel Shu Wei Ting, Nan Liu

J Med Internet Res 2024 (Nov 19); 26:e59439

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Validity of a Consumer-Based Wearable to Measure Clinical Parameters in Patients With Chronic Obstructive Pulmonary Disease and Healthy Controls: Observational Study

Fien Hermans, Eva Arents, Astrid Blondeel, Wim Janssens, Nina Cardinaels, Patrick Calders, Thierry Troosters, Eric Derom, Heleen Demeyer

JMIR Mhealth Uhealth 2024 (Nov 06); 12:e56027

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Evaluating the Bias in Hospital Data: Automatic Preprocessing of Patient Pathways Algorithm Development and Validation Study

Laura Uhl, Vincent Augusto, Benjamin Dalmas, Youenn Alexandre, Paolo Bercelli, Fanny Jardinaud, Saber Aloui

JMIR Med Inform 2024 (Sep 23); 12:e58978

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Evaluating the Construct Validity of the Charité Alarm Fatigue Questionnaire using Confirmatory Factor Analysis

Maximilian Markus Wunderlich, Henning Krampe, Kristina Fuest, Dominik Leicht, Moriz Benedikt Probst, Julian Runge, Sebastian Schmid, Claudia Spies, Björn Weiß, Felix Balzer, Akira-Sebastian Poncette, Study Group, CAFQa Study Group Germany

JMIR Hum Factors 2024 (Aug 08); 11:e57658

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Smartphone-Based Virtual and Augmented Reality Implicit Association Training (VARIAT) for Reducing Implicit Biases Toward Patients Among Health Care Providers: App Development and Pilot Testing

Jiabin Shen, Alex J Clinton, Jeffrey Penka, Megan E Gregory, Lindsey Sova, Sheryl Pfeil, Jeremy Patterson, Tensing Maa

JMIR Serious Games 2024 (Mar 07); 12:e51310

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What’s in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT

Deanna M Kaplan, Roman Palitsky, Santiago J Arconada Alvarez, Nicole S Pozzo, Morgan N Greenleaf, Ciara A Atkinson, Wilbur A Lam

J Med Internet Res 2024 (Mar 05); 26:e51837

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ChatGPT in Medical Education: A Precursor for Automation Bias?

Tina Nguyen

JMIR Med Educ 2024 (Jan 17); 10:e50174

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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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