e.g. mhealth
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Skip search results from other journals and go to results- 9 JMIR Medical Education
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Think-Aloud Testing of a Companion App for Colonoscopy Examinations: Usability Study
Considering that user research can significantly enhance a tool’s adoption and adherence rates post launch [28], this usability study was conducted to pinpoint strengths and weaknesses in the prototype of a companion app for colonoscopy examinations and to provide detailed insights into its quality regarding usefulness, ease of use, and content comprehension. The goal is to refine the product based on evidence gathered from potential users, ensuring it meets its intended purpose effectively.
JMIR Hum Factors 2025;12:e67043
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The application of Chat GPT in medical examinations, particularly within the CNMLE framework, offers a pioneering approach to gauge the potential of LLMs in clinical diagnosis and treatment planning. This study comprehensively assessed Chat GPT’s performance in addressing CNMLE questions, focusing on model evolution and system role designation, which has not yet been fully investigated.
JMIR Med Educ 2024;10:e52784
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Our study aims to evaluate the performance of Chat GPT in the context of pneumology examinations through a comparative analysis with that of third-year medical students.
This research adopts a cross-sectional design and was conducted at the pneumology teaching section of the Faculty of Medicine of Tunis (FMT), Tunisia, in June 2023. The study uses a comparative approach, involving 2 distinct groups: Chat GPT and medical students.
JMIR Med Educ 2024;10:e52818
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However, they have not been used in medical examinations. This study aimed to examine the utility of wearable cameras in creating examination questions and answers.
We developed a single examination question focusing on physical examination skills for resident physicians. In October 2021, authors YN and TS created a simulated outpatient case of appendicitis: a middle-aged man with abdominal pain and localized peritoneal irritation in the right lower quadrant.
JMIR Med Educ 2024;10:e53193
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The examinations consist of 60 questions (6 on medical interview/professionalism, 15 on symptomatology/clinical reasoning, 15 on clinical procedure, and 24 on disease knowledge) and include video- and audio-format questions. The GM-ITE was first introduced in 2011 by the Japan Institute for Advancement of the Medical Education Program (JAMEP), a nonprofit organization, and is administered annually.
JMIR Med Educ 2024;10:e52207
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We have verified the effectiveness of large-scale language-processing models in medical licensing and otolaryngology board certification examinations [6]. Although a certain level of accuracy has been achieved through prompt engineering, these validations have been primarily limited to text-based information processing, and challenges remain in the analysis of complex medical data containing images and diagrams.
JMIR Med Educ 2024;10:e57054
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Capability of GPT-4V(ision) in the Japanese National Medical Licensing Examination: Evaluation Study
The latest model, GPT-4, has been reported to achieve passing scores in medical licensing examinations in non–English speaking countries such as Japan, China, Poland, and Peru [8-13].
Despite these successes, there is still a significant challenge in applying LLMs to real-world problems with non–text-based information. Radiological, pathological, and many other types of visual information play a crucial role in determining a patient’s management.
JMIR Med Educ 2024;10:e54393
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Therefore, this study developed a clinical simulation video (CSV) named “innovative examination” for the GM-ITE to assess residents’ clinical competency in a real-world setting using two components: (1) a high-quality CSV showing a medical interview and physical examinations with a patient and family in an emergency room and (2) follow-up questions for the residents to provide their diagnosis and recommendations.
JMIR Med Educ 2024;10:e54401
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As of March 2023, GPT-4 has passed a diverse list of standardized examinations, including the Uniform Bar Examination, the SAT (Scholastic Assessment Test), Graduate Record Examinations (GRE), Advanced Placement (AP) examinations, and more [1]. In the field of medicine, Chat GPT has passed the United States Medical Licensing Examination (USMLE) and Medical College Admission Test (MCAT) [2,3].
JMIR Med Educ 2024;10:e49970
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Nonetheless, it is crucial to recognize that these licensing examinations are designed for candidates who have completed their pregraduate education. Consequently, the performance of GPT-4 in terms of actual clinical knowledge and skills following the mandatory postgraduate clinical residency training in Japan remains unverified.
JMIR Med Educ 2023;9:e52202
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