The Role of AI in Ultrasound

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 99

Special Issue Editor


E-Mail Website
Guest Editor
Department of Emergency Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seoul 13620, Republic of Korea
Interests: medical ultrasound

Special Issue Information

Dear Colleagues,

The integration of artificial intelligence (AI) into medical ultrasound represents a transformative shift in diagnostic imaging, offering unprecedented opportunities to enhance accuracy, efficiency and patient outcomes. This Special Issue aims to explore the cutting-edge advancements and innovative applications of AI technologies in medical ultrasound. By bringing together research, reviews and case studies from leading experts, we seek to highlight the potential of AI to address the current challenges, optimize imaging protocols and unlock new diagnostic possibilities.

The importance of AI in medical ultrasound is multifaceted, encompassing automated image interpretation, improved diagnostic precision and the development of predictive models for patient management. These advancements promise to significantly reduce the variability in ultrasound interpretation and enable more personalized patient care. Furthermore, AI-driven ultrasound can expand access to high-quality diagnostic imaging in resource-limited settings, democratizing healthcare on a global scale.

This Special Issue will serve as a platform for disseminating novel research findings, sharing clinical experiences and discussing future directions in the integration of AI with medical ultrasound. Our goal is to foster a multidisciplinary dialogue that will spur innovation, optimize clinical workflows and ultimately improve patient care. Contributions are welcomed from researchers, clinicians and technologists who are at the forefront of applying AI in ultrasound imaging across various medical specialties.

Dr. Hyuksool Kwon
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • medical ultrasound
  • diagnostic imaging
  • automated image interpretation
  • predictive modeling
  • personalized medicine
  • clinical workflow optimization
  • healthcare access
  • multidisciplinary innovation

Published Papers

This special issue is now open for submission.
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