Special Issue on Next-Generation AI-Powered Medical Ultrasound Imaging: Methods and Systems Submission Date: 2025-10-15 Next-generation AI-powered medical ultrasound imaging represents a significant leap forward in diagnostic capabilities, leveraging advanced machine learning techniques to enhance both the accuracy and efficiency of imaging systems. By integrating deep learning algorithms, these systems are able to automatically detect, segment, and analyze various anatomical structures and pathologies with unprecedented precision. This progress enables real-time, high-resolution imaging, as well as automated interpretation, reducing reliance on manual expertise and decreasing diagnostic errors. Furthermore, AI-enhanced ultrasound systems can provide more personalized and adaptive imaging, taking into account patient-specific factors like age, body type, and medical history. The future of AI-powered ultrasound imaging is poised to revolutionize areas such as prenatal care, oncology, cardiology, and musculoskeletal imaging, offering not only improved diagnostic capabilities but also streamlined workflows and reduced healthcare costs.