Testing and Assessment in Medical Education

Articles published in 2026 in this theme: 14 (scroll down to load remaining articles)

2026

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Susceptibility of Assessment Types to AI-Generated Content in Digital Health and Health Information Management Education: Quasi-Experimental Pilot Study

Tafheem Ahmad Wani, Michael Liem, Natasha Prasad, Kerin Robinson, Abbey Nexhip, Melanie Tassos, Stephanie Gjorgioski, Urooj Raza Khan, James Boyd, Merilyn Riley

JMIR Med Educ 2026 (Mar 30); 12:e82988

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Questionnaires on Perceptions of Artificial Intelligence in Health Care Among Health Care Students: Cross-Cultural Translation Into French and Linguistic Validation

Sylvain Kotzki, Calvin Massonnet Turner, Nicolas Vuillerme

JMIR Med Educ 2026 (Mar 19); 12:e76572

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Critical Limitations in Comparing ChatGPT and DeepSeek for Orthopedic Assessment

Orhan Ayas, Alaeddin Acar

JMIR Form Res 2026 (Mar 17); 10:e90242

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Authors’ Reply: Critical Limitations in Comparing ChatGPT and DeepSeek for Orthopedic Assessment

Chirathit Anusitviwat, Sitthiphong Suwannaphisit, Jongdee Bvonpanttarananon, Boonsin Tangtrakulwanich

JMIR Form Res 2026 (Mar 17); 10:e91470

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Evaluation Models for Undergraduate Nursing Clinical Skills: A Scoping Review Protocol

Kateryna Metersky, Tommy Lin, Tina Lam, Areej Al-Hamad, Daria Romaniuk

JMIR Res Protoc 2026 (Mar 13); 15:e79805

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Performance of 5 AI Models on United States Medical Licensing Examination Step 1 Questions: Comparative Observational Study

Dania El Natour, Mohamad Abou Alfa, Ahmad Chaaban, Reda Assi, Toufic Dally, Bahaa Bou Dargham

JMIR AI 2026 (Mar 09); 5:e76928

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Performance Evaluation of Large Language Models in Multilingual Medical Multiple-Choice Questions: Mixed Methods Study

Livia Maria Strasser, Wilma Anschuetz, Fabio Dennstädt, Janna Hastings

JMIR Med Educ 2026 (Mar 05); 12:e81399

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Performance of Large Language Models in the Japanese Public Health Nurse National Examination: Comparative Cross-Sectional Study

Yutaro Takahashi, Ryota Kumakura, Rie Okamoto, Shizuko Omote

JMIR Nursing 2026 (Feb 20); 9:e82842

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Fine-Tuned Large Language Models for Generating Multiple-Choice Questions in Anesthesiology: Psychometric Comparison With Faculty-Written Items

Carlos Ramon Hölzing, Charlotte Meynhardt, Patrick Meybohm, Sarah König, Peter Kranke

JMIR Form Res 2026 (Feb 18); 10:e84904

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AI- vs Human-Based Assessment of Medical Interview Transcripts in a Generative AI–Simulated Patient System: Cross-Sectional Validation Study

Hiromizu Takahashi, Kiyoshi Shikino, Takeshi Kondo, Yuji Yamada, Yoshitaka Tomoda, Minoru Kishi, Yuki Aiyama, Sho Nagai, Akiko Enomoto, Yoshinori Tokushima, Takahiro Shinohara, Fumiaki Sano, Takeshi Matsuura, Rikiya Watanabe, Toshio Naito

JMIR Med Educ 2026 (Feb 17); 12:e81673

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Influence of Admission Pathways on Learning Strategies, Assessment Engagement, and Academic Performance Among First-Year Medical Students: Mixed Methods Retrospective Observational and Cross-Sectional Survey Study

Issarawan Keadkraichaiwat, Chantacha Sitticharoon, Punyapat Maprapho, Nisa Jangboon, Nadda Wannarat

JMIR Med Educ 2026 (Feb 02); 12:e68636

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Disaster Medicine Training for Medical Students in Lebanon: Quasi-Experimental Comparison of e-Learning and Face-to-Face Modalities

Ali Msheik, Ruben Peralta, Zeinab Al Mokdad, Christine Bartulec, Linda Abou-Abbas, Dima Anani, Hussein Al Mawla, Hassan Salame, Mohamad Moussa, Awsan Bahattab

JMIR Med Educ 2026 (Jan 28); 12:e80409

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AI-Driven Objective Structured Clinical Examination Generation in Digital Health Education: Comparative Analysis of Three GPT-4o Configurations

Zineb Zouakia, Emmanuel Logak, Alan Szymczak, Jean-Philippe Jais, Anita Burgun, Rosy Tsopra

JMIR Med Educ 2026 (Jan 15); 12:e82116

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GPT-4o and OpenAI o1 Performance on the 2024 Spanish Competitive Medical Specialty Access Examination: Cross-Sectional Quantitative Evaluation Study

Pau Benito, Mikel Isla-Jover, Pablo González-Castro, Pedro José Fernández Esparcia, Manuel Carpio, Iván Blay-Simón, Pablo Gutiérrez-Bedia, Maria J Lapastora, Beatriz Carratalá, Carlos Carazo-Casas

JMIR Med Educ 2026 (Jan 12); 12:e75452

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