Latest AI and machine learning research in medical education for healthcare professionals.
[This corrects the article DOI: 10.1371/journal.pone.0257005.].
The integration of artificial intelligence (AI) into pharmacy education offers transformative opport...
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) algorithms have shown great promi...
Artificial intelligence (AI) fundamentally transforms healthcare education as a knowledge enterprise...
The rapid advancement of generative artificial intelligence (GAI) is poised to revolutionize medical...
Alzheimer's disease (AD), a neurological disorder, is one of the major reasons for memory loss in th...
Recognition and segmentation of brain tumours (BT) using MR images are valuable and tedious processe...
The realm of precision medicine, particularly its application within various sectors, shines notably...
Inching-locomotion caterpillars (ILAR) inspire the design of 'inch-worm' robots with biomimicry feat...
INTRODUCTION: The introduction of generative artificial intelligence (AI) may have a profound effect...
Memristors are commonly used as the connecting parts of neurons in brain-like neural networks. The m...
In many clinical and research settings, the scarcity of high-quality medical imaging datasets has ha...
BACKGROUND: Training in social-verbal interactions is crucial for medical first responders (MFRs) to...
Currently, biomedical event extraction has received considerable attention in various fields, includ...
Ordinal responses commonly occur in psychology, e.g., through school grades or rating scales. Where ...
Analyzing social media networks is crucial for understanding and uncovering common interests and cha...
The process of developing new drugs in the pharmaceutical industry is both time-consuming and costly...
Wildfires have a major influence on the Earth system, with costly impacts on society. Despite decade...
Traditional nephrology education faces challenges due to expanding medical knowledge, case complexit...
Deep learning-based generative adversarial network (GAN) frameworks have recently been developed to ...