Background: The COVID-19 pandemic catalyzed widespread adoption of e-learning in medical education, yet its sustained acceptability and integration as a core pedagogical tool remain insufficiently exp

Background and Objectives: The study aimed to evaluate the effectiveness of teaching toxicology using "Toxic Riddles" in a Team-Based Learning (TBL) format compared to traditional didactic lectures (T

Background: Simulation-based learning (SBL) has emerged as an effective pedagogical approach in medical education, offering opportunities to integrate theoretical knowledge with clinical application.

Background: The worldwide prevalence of obesity has reached an epidemic level and has presented a significant burden to public health infrastructure. There is a critical need for novel predictive inst

Background: This study was undertaken to introduce flipped classroom as a teaching learning tool, assess the perception of students and faculty towards flipped classroom methodology. Methods: The stud

Background: Artificial intelligence (AI) in surgery has evolved significantly improving surgeon’s cognitive capabilities. Natural Language Processing (NLP), Machine Learning (ML) and Computer Vision (

Background: Bronchiectasis is a chronic suppurative airway disease characterized by recurrent respiratory infections and progressive lung damage. Early identification of patients with positive sputum

Background: Background: Cognitive dysfunction is a common but often under-recognised feature of multiple sclerosis. The Brief International Cognitive Assessment for Multiple Sclerosis provides a pract

Despite growing concerns regarding insufficient sleep among adolescents, emerging evidence suggests that sleep duration alone may not adequately reflect sleep-related impairments in learning and acade

Objectives: The objective of the study was to use machine learning (ML) methodology to create prediction models for hypertension based on nationally representative health and demographic surveillance

Background: This study was undertaken to understand the effectiveness and impact of incorporating concept mapping as teaching learning methodology in undergraduate medical curriculum. Methods: The stu

Artificial Intelligence (AI) is transforming healthcare, particularly in stroke diagnosis, management, and rehabilitation. Stroke, a leading cause of mortality and disability, requires rapid intervent

Introduction: Pediatric metabolic screening is governed by a weight-centric dualism that prioritizes obesity while overlooking cardiometabolic risks in undernutrition. While obesity-related dyslipidem

Background: Medical educators and clinical trainers are increasingly expected to demonstrate competencies beyond clinical expertise, including in curriculum design, assessment, educational research, a

Background: Given the rigorous and demanding nature of medical education, understanding student motivation is crucial for educators and policy makers to optimize learning environments and effectively