Latest AI and machine learning research in medical education for healthcare professionals.
OBJECTIVE: Artificial intelligence-supported large language models (LLMs) have become increasingly widespread in recent years in the health communication and patient education. Models such as ChatGPT, Claude, Gemini, and DeepSeek are used to provide information on complex medical topics, thanks to their natural language processing capabilities. This study compares the responses of models to 5 freq...
Reducing scan times, radiation dose, and enhancing image quality, especially for lower-performance scanners, are critical in low-count/low-dose PET imaging. Deep learning (DL) techniques have been investigated for PET image denoising. However, existing models have often resulted in compromised image quality when achieving low-count/low-dose PET and have limited generalizability to different image ...
BACKGROUND: Clinical competency-based education (CBE) has emerged as a critical strategy to enhance workforce readiness in radiation sciences. Despite...
Healthcare systems globally face unprecedented pressures, with increasing patient volumes and resource constraints affecting care delivery. While syst...
BACKGROUND: The exponential growth of medical knowledge presents a paradox for modern medical education. While access to information is immediate, app...
Kaiser Permanente Northern California (KPNCAL) has a long-standing commitment to advancing nursing excellence through workforce development, professio...
OBJECTIVE: To explore the gaps, needs, and priorities in the pharmacy curriculum of Pakistan and synthesize pharmacy professionals' perspectives to de...
Artificial intelligence (AI) tools have become increasingly integrated into university-level English learning, yet their pedagogical role within input...
A large number of students are either using or are receptive to the idea of using AI to draft or refine certain components of their residency applicat...
BACKGROUND: Recent years have witnessed a surge in the integration of digital intelligence within dental education, with various technologies increasi...
The rapid integration of generative artificial intelligence (GenAI) into undergraduate nursing education has prompted significant debate regarding its...
INTRODUCTION: Simulation-based training has emerged as a critical tool in the acquisition of robotic surgical skills, especially in urology, where pro...
Limited clinical placements for mental health courses in the United Arab Emirates have made it difficult to provide consistent experiential learning f...
Generative artificial intelligence (AI) is arriving in high-stakes assessment; however, governance, validity evidence, and faculty readiness remain un...
OBJECTIVE: Machine learning models (ML) often require localization to perform optimally in local populations. We hypothesize that smaller community he...
Land-use and land-cover change (LULCC) is one of the key drivers altering terrestrial ecosystem carbon storage. Accurate simulation of LULCC is crucia...
INTRODUCTION: The Plan A blocks framework was proposed in 2019 with the aim of promoting a small number of versatile, high-value regional anaesthetic ...
ISSUE: Interest in artificial intelligence (AI) has surged recently, with healthcare being no exception. As free, widely accessible AI interfaces grow...
BACKGROUND: Artificial intelligence (AI) models are increasingly being used in medical education. Although models like ChatGPT have previously demonst...