Introduction In recent years, we have witnessed a universal and unprecedented advancement of artificial intelligence (AI) across diverse medical scenarios, with a particularly relevant impact on diagnostic imaging, especially ultrasonography. Ultrasonography is a widely available, low-cost, real-time method with rapid image acquisition and no exposure to ionizing radiation. Despite these advantages, ultrasonography remains limited by its operator- and equipment-dependent nature, which contributes to significant interobserver and interinstitutional variability, in addition to hindering large-scale standardization., […]