Objectives: There is no standardised and up-to-date education model for urology residents in our country. We aimed to describe our National E-learning education model for urology residents.
Methodology: The ERTP working group; consisting of urologists was established by the Society of Urological Surgery to create E-learning model and curriculum in April 2018. Learning objectives were set up in order to determine and standardise the contents of the presentations. In accordance with the Bloom Taxonomy, 834 learning objectives were created for a total of 90 lectures (18 lectures for each PGY year). Totally 90 videos were shot by specialised instructors and webcasts were prepared. Webcasts were posted at uropedia.com.tr, which is the web library of the Society of Urological Surgery. The satisfaction of residents and instructors was evaluated with feedbacks. An assessment of knowledge was measured with the multiple-choice exam.
Results: A total of 43 centres and 250 urology residents were included in ERTP during the academic year 2018/2019. There were 93/55/43/34/25 urology residents at 1st/2nd/3rd/4th and 5th year of residency, respectively. Majority of the residents (99.1%) completed the ERTP. The overall satisfaction rate of residents and instructors were 4.29 and 4.67 (min: 1 so bad, max: 5 so good). An assessment exam was performed to urology residents at the end of the ERTP and the mean score was calculated as 57.99 points (min: 20, max: 82).
Conclusion: As a result of the COVID-19 pandemic, most of the educational programmes had to move online platforms. We used this reliable and easily accessible e-learning platform for the standardisation of training in urology on national basis. We aim to share this model with international residency training programmes.
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http://dx.doi.org/10.1111/ijcp.13683 | DOI Listing |
ESMO Open
January 2025
Yale Cancer Center, Yale School of Medicine, New Haven, USA. Electronic address:
Background: Natural killer (NK) cells are important contributors to antitumor immunity in clear-cell renal cell carcinoma (ccRCC). However, their phenotype, function, and association with clinical outcomes in ccRCC remain poorly understood.
Materials And Methods: We analyzed single-cell RNA sequencing data from 13 primary tumors, 1 localized tumor extension, and 1 metastasis from ccRCC patients at different clinical stages.
Urol Case Rep
January 2025
Consultant of Endourology and MIS at King Fahad Hospital of University, College of Medicine Imam Abdulrahman bin Faisal University, Saudi Arabia.
Spontaneous, non-traumatic bleeding into the subcapsular and perirenal space is a rare and potentially fatal condition known as Wunderlich syndrome (WS). It has a variety of causes including the usage of anticoagulation. Many anticoagulants including warfarin can interact with other medication and lead to potentially fatal complications, Herein, we report a case of a 47 year old female on warfarin who developed subcapsular renal hematoma and retroperitoneal hematoma after the completion of ciprofloxacin treatment course.
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January 2025
Department of Urology, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Purpose Of Review: The evaluation and selection process of similarly qualified applicants for surgical residency positions in the United States (US) is challenging. Technical aptitude assessments may provide an opportunity to improve the selection process by offering insight into a candidate's technical skills. The use of these assessments prompts consideration of the degree to which technical aptitude in surgery is innate versus acquired.
View Article and Find Full Text PDFUrology
January 2025
Section of Urology, VA Boston Healthcare System, West Roxbury, MA. Electronic address:
JMIR Med Educ
January 2025
Faculty of Medicine, Jordan University for Science and Technology, Irbid, Jordan.
Background: Artificial intelligence (AI) is set to shape the future of medical practice. The perspective and understanding of medical students are critical for guiding the development of educational curricula and training.
Objective: This study aims to assess and compare medical AI-related attitudes among medical students in general medicine and in one of the visually oriented fields (pathology), along with illuminating their anticipated role of AI in the rapidly evolving landscape of AI-enhanced health care.
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