Objective: This study synthesizes current evidence regarding the performance and clinical applications of artificial intelligence (AI)-assisted systems in radiolog[...]

Magnetic resonance fingerprinting (MRF) is a quantitative magnetic resonance imaging technique that generates tissue signals that vary based on chemical, physical, and bi[...]

Introduction: Artificial intelligence (AI) is rapidly transforming the field of radiology, influencing image interpretation, diagnostic workflows, and clinical dec[...]

Background: Anatomy education has shifted from cadaveric dissection to integrated approaches incorporating imaging modalities such as ultrasound (US), computed tom[...]

Near-peer teachers (NPTs) are increasingly used in medical education, yet little research has examined their effectiveness in teaching radiologic anatomy to early medical[...]

Artificial Intelligence (AI) has gained momentum in medicine, with radiology leading its adoption. Traditionally, radiologists maintain high diagnostic accuracy by integr[...]

Melanoma is the most deadly form of cutaneous malignancy, and accurate staging is critical for prognosis and management. Positron emission tomography/computed tomography [...]

Background: Multimodal large language models are increasingly discussed as potential adjuncts for medical image interpretation, yet the extent to which structured [...]