Canadian medical education journal最新文献_第6页

Generative artificial intelligence in medical education: moving from potential to practice: when AI surpasses MDs. 医学教育中的生成式人工智能：从潜力到实践：当人工智能超越医学博士。

Canadian medical education journal Pub Date : 2025-12-22 eCollection Date: 2025-12-01 DOI: 10.36834/cmej.80607

Leo Morjaria, Matthew Sibbald

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AI in health professions education. 卫生专业教育中的人工智能。

Canadian medical education journal Pub Date : 2025-12-22 eCollection Date: 2025-12-01 DOI: 10.36834/cmej.82934

Cindy Schmidt

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Compassionate primary care training and practice in the digital technology sphere: a scoping review protocol. 数字技术领域富有同情心的初级保健培训和实践：范围审查协议。

Canadian medical education journal Pub Date : 2025-12-22 eCollection Date: 2025-12-01 DOI: 10.36834/cmej.81831

Asiana Elma, Vyshnave Jeyabalan, Emma Wilson, Tavis Apramian, Jeffrey Myers, Giovanna Sirianni

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AI that teaches: an evidence-based GPT model to improve medical student understanding of pulmonary function tests. 人工智能教学：基于证据的GPT模型，以提高医学生对肺功能测试的理解。

Canadian medical education journal Pub Date : 2025-12-22 eCollection Date: 2025-12-01 DOI: 10.36834/cmej.80873

Anusha Aiyar, Henry Moon

{"title":"AI that teaches: an evidence-based GPT model to improve medical student understanding of pulmonary function tests.","authors":"Anusha Aiyar, Henry Moon","doi":"10.36834/cmej.80873","DOIUrl":"10.36834/cmej.80873","url":null,"abstract":"Implication Statement This study explores the integration of an augmented Generative Pre-trained Transformer (GPT) tool with curated scientific sources to enhance the learning of pulmonary function test (PFT) interpretation in pre-clerkship medical education. Our findings suggest that this approach offers notable improvements in accuracy, reliability, and the quality of explanations compared to existing tools, such as Out-of-Box GPT and USMLE Q-Banks. The PFT learning assistant can support medical students in navigating common learning barriers, provide a personalized and scalable approach to evidence-based medical education Énoncé des implications de la recherche Cette étude explore l'intégration d'un outil de transformation générative pré-entraînée (GPT) enrichi de ressources scientifiques sélectionnées afin d'améliorer l'apprentissage de l'interprétation des épreuves fonctionnelles respiratoires (EFR) dans la formation médicale préclinique. Nos résultats suggèrent que cette approche offre des améliorations notables en termes de précision, de fiabilité et de qualité des explications par rapport aux outils existants, tels que le GPT standard et les banques de questions USMLE. Cet assistant d'apprentissage des EFR peut aider les étudiants en médecine à surmonter les obstacles d'apprentissage courants et propose une approche personnalisée et adaptable de la formation médicale fondée sur les preuves.","PeriodicalId":72503,"journal":{"name":"Canadian medical education journal","volume":"16 6","pages":"32-35"},"PeriodicalIF":0.0,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12826814/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146047540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancing AI literacy in Canadian orthopedic education: a framework for equitable and inclusive training. 促进加拿大骨科教育中的人工智能素养：公平和包容性培训框架。

Canadian medical education journal Pub Date : 2025-12-22 eCollection Date: 2025-12-01 DOI: 10.36834/cmej.82734

Rahul Kumar, Rohan Phadke, Samer Salman

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An Editor-in-Chief's farewell. 总编辑的告别。

Canadian medical education journal Pub Date : 2025-12-22 eCollection Date: 2025-12-01 DOI: 10.36834/cmej.82935

Marcel F D'Eon

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OpenAI's Sora in medical education: artificial videos in the classroom of the future Sora d'OpenAI dans l'enseignement médical : des vidéos artificielles dans la salle de classe du futur. OpenAI的Sora in medical education: artificial videos in the classroom of the future . OpenAI的Sora in medical education: artificial videos in the classroom of the future。

Canadian medical education journal Pub Date : 2025-12-22 eCollection Date: 2025-12-01 DOI: 10.36834/cmej.79065

Ethan Waisberg, Joshua Ong, Rahul Kumar, Mouayad Masalkhi, Andrew G Lee

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OSCEai dermatology: augmenting dermatologic medical education with Large Language Model GPT-4. OSCEai皮肤病学：用大语言模型GPT-4增强皮肤医学教育。

Canadian medical education journal Pub Date : 2025-12-22 eCollection Date: 2025-12-01 DOI: 10.36834/cmej.80056

Ye-Jean Park, Eddie Guo, Muskaan Sachdeva, Bryan Ma, Sara Mirali, Brian Rankin, Nikki Nathanielsz, Abrahim Abduelmula, Tatiana Lapa, Mehul Gupta, Trevor Champagne

引用次数: 0

Re-evaluating the role of personal statements in pediatric residency admissions in the era of artificial intelligence: comparing faculty ratings of human and AI-generated statements. 重新评估个人陈述在人工智能时代儿科住院医师录取中的作用：比较教师对人工陈述和人工智能生成陈述的评分。

Canadian medical education journal Pub Date : 2025-12-22 eCollection Date: 2025-12-01 DOI: 10.36834/cmej.81345

Brittany Curry, Amrit Kirpalani, Mia Remington, Tamara Van Hooren, Ye Shen, Erin R Peebles

{"title":"Re-evaluating the role of personal statements in pediatric residency admissions in the era of artificial intelligence: comparing faculty ratings of human and AI-generated statements.","authors":"Brittany Curry, Amrit Kirpalani, Mia Remington, Tamara Van Hooren, Ye Shen, Erin R Peebles","doi":"10.36834/cmej.81345","DOIUrl":"10.36834/cmej.81345","url":null,"abstract":"Background: Personal statements play a large role in pediatric residency applications, providing insights into candidates' motivations, experiences, and fit for the program. With large language models (LLMs) such as Chat Generative Pre-trained Transformer (ChatGPT), concerns have arisen regarding how this may influence the authenticity of statements in evaluating candidates. This study investigates the efficacy and perceived authenticity of LLM-generated personal statements compared to human-generated statements in residency applications.Methods: We conducted a blinded study comparing 30 ChatGPT-generated personal statements with 30 human-written statements. Four pediatric faculty raters assessed each statement using a standardized 10-point rubric. We analyzed the data using linear mixed-effects models, a chi-square sensitivity analysis, an evaluation of rater accuracy in identifying statement origin as well as consistency of scores amongst raters using intraclass correlation coefficients (ICC).Results: There was no significant difference in mean scores between AI and human-written statements. Raters could only identify the source of a letter (AI or human) with 59% accuracy. There was considerable disagreement in scores between raters as indicated by negative ICCs.Conclusions: AI-generated statements were rated similarly to human-authored statements and were indistinguishable by reviewers, highlighting the sophistication of these LLM models and the challenge in detecting their use. Furthermore, scores varied substantially between reviewers. As AI becomes increasingly used in application processes, it is imperative to examine its implications in the overall evaluation of applicants.","PeriodicalId":72503,"journal":{"name":"Canadian medical education journal","volume":"16 6","pages":"21-24"},"PeriodicalIF":0.0,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12826822/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146055160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing equity in medical school interview prep with ChatGPT. 利用ChatGPT提高医学院面试准备的公平性。

Canadian medical education journal Pub Date : 2025-12-22 eCollection Date: 2025-12-01 DOI: 10.36834/cmej.82035

Kyra Yuan Li, William Tien Tran, Farah Hashemi-Sabet, Fok-Han Leung

引用次数: 0