Advanced Imaging and Artificial Intelligence in Emergency Body Radiology
A Special Issue of Diagnostics (ISSN 2075-4418) belonging to the section "Medical Imaging and Theranostics".
Deadline for manuscript submissions: 28 February 2027 | Viewed by 728
Editors
Interests: emergency radiology; radiomics; abdominal imaging; contrast-enhanced ultrasound (CEUS); computed tomography (CT); advanced CT techniques (dual-energy CT); magnetic resonance imaging; oncological imaging; diagnostic meta-analysis
Special Issues, Collections and Topics in MDPI journals
Interests: emergency radiology; thoracic imaging; abdominal and pelvic imaging; vascular imaging; multimodality imaging; contrast-enhanced ultrasound (CEUS); computed tomography (CT); advanced CT techniques (dual-energy CT); magnetic resonance imaging (MRI); oncologic imaging
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Emergency and acute care radiology increasingly relies on advanced imaging techniques and artificial intelligence (AI) to support rapid, accurate diagnosis in time-sensitive clinical scenarios.
Advanced imaging modalities, including dual-energy and photon-counting computed tomography (CT), accelerated magnetic resonance imaging (MRI) sequences, and contrast-enhanced ultrasound (CEUS), have expanded diagnostic capabilities in emergency settings. Concurrently, AI applications encompassing deep learning algorithms, radiomics analysis, and machine learning models are being investigated for both interpretive tasks, such as fracture detection and acute pathology identification, and non-interpretive functions, including workflow prioritisation and image quality optimisation.
The integration of these technological advances holds potential to address common challenges in emergency radiology, such as high case volumes and the need for rapid triage. However, successful clinical translation requires rigorous validation, the standardisation of methodologies, and seamless integration into existing workflows.
This Special Issue will collect original contributions on advanced imaging techniques and AI applications in emergency body radiology, with emphasis on methodological rigor and clinical applicability.
We welcome original research articles, reviews, and technical notes covering (but not limited to) the following topics:
- Dual-energy and photon-counting CT applications in emergency imaging;
- AI-based acceleration techniques for emergency MRI protocols;
- Contrast-enhanced ultrasound and ultrasound radiomics in acute settings;
- Deep learning models for fracture detection and acute pathology identification;
- AI and radiomics applications in acute oncological and non-oncological conditions;
- Workflow optimisation and non-interpretive AI applications;
- Clinical validation and real-world implementation studies.
We look forward to receiving your contributions.
Dr. Francesco Verde
Dr. Francesca Iacobellis
Guest Editors
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized 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
- emergency radiology
- advanced imaging
- artificial intelligence
- dual-energy CT
- photon-counting CT
- MRI acceleration
- contrast-enhanced ultrasound
- deep learning
- radiomics
- workflow optimisation
- clinical validation
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