Medical training curricula is a constantly evolving field. The objective of the present study is to analyze the changes the field has undergone. Our sources of information include demographic and health surveys, surveys carried out with students and faculty members and medical school guidelines from prestigious teaching centers. We compared medical curricula offered in Mexico as well as international trends. We analyzed context requirements, current status and future trends in biological, sociomedical and clinical disciplines; research and teaching methods; adequate academic programs. We describe the state of affairs in medical teaching in Mexico and the challenges that academic programs are currently facing. We propose a curricula with horizontal and vertical planning according to skills and competences that focus on health problems to foster scientific reasoning. Teaching strategies that are student-focused and foster significant/long-lasting learning. We suggest the need to include early clinical activities, communication skills and training in technological resources. Finally, there is a need to define a teaching profile that is consistent with training programs, to include experts in technology and modern teaching methods in order to establish permanent monitoring mechanisms, and to offer incentives to academics and administrative personnel.
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Environ Health Perspect
December 2024
Public and Occupational Health, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands.
Background: Climate change is the 21st century's biggest global health threat, endangering health care systems worldwide. Health care systems, and hospital care in particular, are also major contributors to greenhouse gas emissions.
Objectives: This study used a systematic search and screening process to review the carbon footprint of hospital services and care pathways, exploring key contributing factors and outlining the rationale for chosen services and care pathways in the studies.
J Med Internet Res
December 2024
Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Background: Large language models (LLMs) are increasingly integrated into medical education, with transformative potential for learning and assessment. However, their performance across diverse medical exams globally has remained underexplored.
Objective: This study aims to introduce MedExamLLM, a comprehensive platform designed to systematically evaluate the performance of LLMs on medical exams worldwide.
J Med Internet Res
December 2024
School of Automation, Central South University, Changsha, China.
Background: Private-part skin diseases (PPSDs) can cause a patient's stigma, which may hinder the early diagnosis of these diseases. Artificial intelligence (AI) is an effective tool to improve the early diagnosis of PPSDs, especially in preventing the deterioration of skin tumors in private parts such as Paget disease. However, to our knowledge, there is currently no research on using AI to identify PPSDs due to the complex backgrounds of the lesion areas and the challenges in data collection.
View Article and Find Full Text PDFDermatitis
December 2024
From the Department of Dermatology, Nippon Medical School Chiba Hokusoh Hospital, Inzai, Japan.
Tralokinumab, an anti-IL-13 antibody, is an effective treatment for patients with atopic dermatitis (AD). However, predictive factors for responders to tralokinumab remain unclear in real-world practice. This study aimed to identify predictive factors for early and late responders to tralokinumab treatment.
View Article and Find Full Text PDFOphthalmic Epidemiol
December 2024
Light for the World, Addis Ababa, Ethiopia.
Purpose: Baseline surveys were conducted in Tigray region, Ethiopia, in 2013. Since then, rounds of azithromycin mass drug administration (MDA) have been delivered in-line with international guidance. The purpose of these surveys was to assess trachomatous inflammation-follicular (TF) prevalence following those treatments to enable the region to plan the next steps towards elimination of trachoma.
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