Purpose: The French government, as part of medical education reforms, has affirmed that an examination program for national residency selection will be implemented by 2004. The purpose of this study was to develop a French multiple-choice (MC) examination using the National Board of Medical Examiners' (NBME) expertise and materials.
Method: The Evaluation Standardisée du Second Cycle (ESSC), a four-hour clinical sciences examination, was administered in January 2002 to 285 medical students at four university test sites in France. The ESSC had 200 translated and adapted MC items selected from the Comprehensive Clinical Sciences Examination (CCSE), an NBME subject test.
Results: Less than 10% of the ESSC items were rejected as inappropriate to French practice. Also, the distributions of ESSC item characteristics were similar to those reported with the CCSE. The ESSC also appeared to be very well targeted to examinees' proficiencies and yielded a reliability coefficient of.91. However, because of a higher word count, the ESSC did show evidence of speededness. Regarding overall performance, the mean proficiency estimate for French examinees was about 0.4 SD below that of a CCSE population.
Conclusions: This study provides strong evidence for the usefulness of the model adopted in this first collaborative effort between the NBME and a consortium of French medical schools. Overall, the performance of French students was comparable to that of CCSE students, which was encouraging given the differences in motivation and the speeded nature of the French test. A second phase with the participation of larger numbers of French medical schools and students is being planned.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/00001888-200305000-00016 | DOI Listing |
Biochem Biophys Res Commun
January 2025
Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia. Electronic address:
Objective And Significance: Transforming growth factor-beta (TGF-β) plays a pivotal role in breast development by modulating tissue composition during the developmental phase. The TGFβ type II receptor (TGFβ RII) is implicated in breast cancer and represents a valuable therapeutic target. Due to the off-target side effects of many existing TGFβI/TGFβ RII inhibitors, a more targeted approach to drug discovery is necessary.
View Article and Find Full Text PDFInt J Med Inform
December 2024
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. Electronic address:
Background: Solid organ transplantation (SOT) is vital for end-stage organ failure but faces challenges like organ shortage and rejection. Artificial intelligence (AI) offers potential to improve outcomes through better matching, success prediction, and automation. However, the evolution of AI in SOT research remains underexplored.
View Article and Find Full Text PDFInt J Pediatr Otorhinolaryngol
January 2025
Department of Audiology, Ankara Medipol University Faculty of Health Sciences, Ankara, Turkey. Electronic address:
Objectives: This study aims to evaluate musical pitch and timbre perception in children who stutter and compare the results with typically developing children.
Methods: A total of 50 participants were included in the study, consisting of 25 children with stuttering (mean age = 10.06 years; range 6-17 years) and 25 typically developing children (mean age = 10.
Int J Epidemiol
December 2024
Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Pediatr Emerg Care
January 2025
University of California Davis School of Medicine, Sacramento, CA.
Objective: Evaluate the accuracy and reliability of various generative artificial intelligence (AI) models (ChatGPT-3.5, ChatGPT-4.0, T5, Llama-2, Mistral-Large, and Claude-3 Opus) in predicting Emergency Severity Index (ESI) levels for pediatric emergency department patients and assess the impact of medically oriented fine-tuning.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!