Novel Applications of Artificial Intelligence in Ultrasound Imaging

Dear Colleagues,

Ultrasound technology is advancing with more compact and portable probes, meeting the growing demand for low-cost, point-of-care devices. The shift toward 3D imaging and high-framerate schemes enhances diagnostic capabilities, but also challenges data processing and interpretation in real time. As a subset of artificial intelligence, deep learning has significantly impacted various aspects of ultrasound imaging, including image quality enhancement, 3D reconstruction and image analysis, resulting in higher diagnostic accuracy and efficiency.

This Special Issue of Applied Science aims to explore cutting-edge developments in leveraging deep learning techniques to enhance the capabilities and applications of ultrasound imaging. This Special Issue invites contributions that address the following key areas:

• Ultrasound Image Analysis: Innovations in using deep learning to improve the interpretation and accuracy of ultrasound images.
• Point-of-Care Ultrasound (POCUS): Enhancements in real-time diagnostic capabilities at the bedside through advanced deep learning models.
• Ultrasound Image Enhancement: Techniques to improve image quality using AI-driven methods.
• 3D Ultrasound and 3D Reconstruction: Applications of deep learning in reconstruction and analyzing three-dimensional ultrasound images, providing more detailed and accurate visualizations.
• Super-Resolution Ultrasound: AI methods to achieve higher resolution images, surpassing the traditional limits of ultrasound technology.
• Artificial Intelligence and Deep Learning: Broader AI applications in ultrasound, including novel algorithms, architectures and their clinical impacts.
• AI-Powered Ultrasound: Integration of AI in ultrasound devices for enhanced diagnostic capabilities and workflow efficiencies.
• Explainable AI: Ensuring transparency and interpretability of AI models in medical diagnostics to foster trust and adoption in clinical settings.
• Tumor Detection and Segmentation: Advanced deep learning techniques for the accurate detection and segmentation of tumors in ultrasound images, improving early diagnosis and treatment planning.

This Special Issue aims to gather research that pushes the boundaries of what is possible with ultrasound imaging using recent AI advancements, offering improved diagnostic accuracy, efficiency and patient outcomes​.

Dr. Behdad Dasht Bozorg
Guest Editor

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• ultrasound imaging
• point-of-care ultrasound (POCUS)
• ultrasound image enhancement
• 3D ultrasound
• ultrasound 3D reconstruction
• super-resolution ultrasound
• artificial intelligence
• deep learning
• AI-powered ultrasound
• explainable AI
• tumor detection and segmentation