Announcements

Ultrasound is one of the most widely used and accessible diagnostic modalities in global healthcare. However, its effectiveness is often limited by user skill and interpretive subjectivity. Automation in Ultrasound Imaging is revolutionizing this field by offering automated interpretation, real-time guidance, and decision support, enabling more consistent and accurate diagnoses across care settings. This research is central to the future of personalized, affordable, and scalable diagnostic medicine.

This research collection focuses on the intersection of Model Based Data Acquisition, Analysis and Classification and medical ultrasound, covering algorithmic advances, clinical applications, and real-time diagnostic tools. It welcomes interdisciplinary contributions in machine learning, image processing, clinical radiology, and bioengineering that enhance the accuracy, efficiency, and accessibility of ultrasound imaging. Key areas include AI-assisted anomaly detection, automated measurements, portable diagnostics, and point-of-care applications in diverse clinical settings.

Topics of interest include (but are not limited to):

• Deep learning models for ultrasound image classification and segmentation
• Automated quality assessment and real-time feedback systems
• Edge AI and portable ultrasound devices for remote or low-resource settings
• Explainable AI (XAI) in clinical decision-making from ultrasound data
• Integration with electronic health records and diagnostic platforms
• Validation studies and clinical trials involving AI-based ultrasound tools
• Novel AI applications in lung, cardiac, abdominal, brain and obstetric ultrasound

All submitted papers will undergo rigorous peer-review by specialists in the field, with accepted papers set to be published as soon as they are ready.

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IMPORTANT NOTICE: Publisher Update

Mattioli 1885 is pleased to announce that The Ultrasound Journal will join its portfolio of scientific journals.

Starting from January 1st, 2026, The Ultrasound Journal will no longer be published by Springer Nature and will be published by Mattioli 1885.

We are honored to take on the publication of The Ultrasound Journal and look forward to supporting the journal’s continued growth and development in the years to come.