Latest AI and machine learning research in medical education for healthcare professionals.
In many clinical and research settings, the scarcity of high-quality medical imaging datasets has hampered the potential of artificial intelligence (AI) clinical applications. This issue is particularly pronounced in less common conditions, underrepresented populations and emerging imaging modalities, where the availability of diverse and comprehensive datasets is often inadequate. To address this...
Currently, biomedical event extraction has received considerable attention in various fields, including natural language processing, bioinformatics, and computational biomedicine. This has led to the emergence of numerous machine learning and deep learning models that have been proposed and applied to tackle this complex task. While existing models typically adopt an extraction-based approach, whi...
Ordinal responses commonly occur in psychology, e.g., through school grades or rating scales. Where traditionally parametric statistical models like t...
Traditional nephrology education faces challenges due to expanding medical knowledge, case complexity, and personalized learning needs. Generative art...
ChatGPT has demonstrated significant potential in various aspects of medicine, including its performance on licensing examinations. In this study, we ...
In recent times, characterized by the rapid advancement of science and technology, the educational system has continuously evolved. Within this modern...
The increasing application of generative artificial intelligence large language models (LLMs) in various fields, including medical education, raises q...
Urban flooding has become a prevalent issue in cities worldwide. Urban flood dynamics differ significantly from those in natural watersheds, primarily...
The application of artificial intelligence (AI) in education has gained great attention recently. Integration of AI tools in anatomy teaching is curre...
BACKGROUND: Over the years, approaches of the pharmaceutical industry to discover and develop drugs have changed rapidly due to new scientific trends....
BACKGROUND: A personal statement is a common requirement in medical residency and fellowship applications. Generative artificial intelligence may be u...
The rapid advancement of technology has brought significant changes to various fields, including medical imaging (MI). This discussion paper explores ...
OBJECTIVE: This study was designed to investigate if artificial intelligence (AI) detection software can determine the use of AI in personal statement...
BACKGROUND: Artificial Intelligence (AI) in the selection of residency program applicants is a new tool that is gaining traction, with the aim of scre...
BACKGROUND: Healthcare simulation is critical for medical education, with traditional methods using simulated patients (SPs). Recent advances in artif...
In the field of medicine, uncertainty is inherent. Physicians are asked to make decisions on a daily basis without complete certainty, whether it is i...
With the advancement of Artificial Intelligence (AI), it has had a profound impact on medical education. Understanding the advantages and issues of AI...
BACKGROUND: Chat-based Artificial Intelligence (AI) tools, such as ChatGPT, are becoming integral to various aspects of pharmacy education. However, t...
Predicting the probability that a given location will be burnt by a wildfire is an important part of understanding the risk that wildfires pose and ho...
Healthcare educators (HPE) are challenged by rapid developments in Generative Artificial Intelligence (GenAI) tools. They need a standardized model to...