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Background: Investigating and understanding how students learn on their own is essential to effective teaching, but studies are rarely conducted in this context. A major aim within medical education is to foster procedural knowledge. It is known that case-based questioning exercises drive the learning process, but the way students deal with these exercises is explored little.
Methods: This study examined how medical students deal with case-based questioning by evaluating 426 case-related questions created by 79 fourth-year medical students. The subjects covered by the questions, the level of the questions (equivalent to United States Medical Licensing Examination Steps 1 and 2), and the proportion of positively and negatively formulated questions were examined, as well as the number of right and wrong answer choices, in correlation to the formulation of the question.
Results: The evaluated case-based questions' level matched the United States Medical Licensing Examination Step 1 level. The students were more confident with items aiming on diagnosis, did not reject negatively formulated questions and tended to prefer handling with right content, while keeping wrong content to a minimum.
Conclusion: These results should be taken into consideration for the formulation of case-based questioning exercises in the future and encourage the development of bedside teaching in order to foster the acquisition of associative and procedural knowledge, especially clinical reasoning and therapy-oriented thinking.
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http://dx.doi.org/10.1186/s12909-016-0564-x | DOI Listing |
Clin Teach
October 2025
American Society of Hematology, Washington, DC, USA.
Background: Despite the high prevalence of skin conditions, access to dermatologists remains limited, leaving patients to rely on primary care doctors, paediatricians or emergency medicine providers for diagnosis and treatment. Additionally, dermatology education in medical school is often insufficient, with limited hours dedicated to the specialty. The widespread need for dermatologic care and the curricular time devoted to training medical students in dermatology topics are misaligned, which underscores the importance of enhancing dermatology training within the undergraduate medical curriculum.
View Article and Find Full Text PDFJ Surg Educ
September 2025
Department of Surgery, Washington University, St. Louis School of Medicine, St. Louis, Missouri.
Background: High-quality patient care necessitates knowledge of health disparities and strategies for cultural humility, yet no widely accepted health equity curriculum is available for general surgery residents. We developed such a curriculum based on adult learning theory and local public health priorities. The format included quarterly cultural complications Morbidity and Mortality conferences, interprofessional panels, and case-based discussions.
View Article and Find Full Text PDFIntroduction: Small group teaching is widely used in healthcare education. Few studies have specifically focused on small group teaching in optometry. This study investigated the effects of small group clinical teaching combined with case-based learning (CBL) on final-year optometry students' knowledge in the assessment, diagnosis and management of accommodation and convergence anomalies.
View Article and Find Full Text PDFInt Braz J Urol
August 2025
Divisão de Urologia, Faculdade de Medicina da Universidade de São Paulo - FMUSP, São Paulo, Brasil.
Purpose: Artificial intelligence (AI) continues to evolve as a tool in clinical decision support. Large language models (LLMs), such as ChatGPT and DeepSeek, are increasingly used in medicine to provide fast, accessible information. This study aimed to compare the performance of ChatGPT and DeepSeek in generating recommendations for the management of postprostatectomy urinary incontinence (PPUI), based on the AUA/SUFU guideline.
View Article and Find Full Text PDFBMC Med Educ
August 2025
Department of Neurosurgery, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang Alley, Wu Hou Distract, Chengdu, Sichuan Province, 610037, China.
Background: Generative artificial intelligence (AI) tools like ChatGPT (OpenAI) have garnered significant attention for their potential in fields such as medical education; however, their performance of large language and vision models on medical test items involving images remains underexplored, limiting their broader educational utility. This study aims to evaluate the performance of GPT-4 and GPT-4 Omni (GPT-4o), accessed via the ChatGPT platform, on image-based United States Medical Licensing Examination (USMLE) sample items, to explore their implications for medical education.
Methods: We identified all image-based questions from the USMLE Step 1 and Step 2 Clinical Knowledge sample item sets.