Call for papers - Innovations in veterinary diagnostic digital imaging

Guest Editors

Ashraf M. Abu-Seida, PhD, Cairo University, Egypt
Małgorzata Domino, DVM, MSc, PhD, DSc, Warsaw University of Life Sciences, Poland

Submission Status: Open | Submission Deadline: 12 June 2025

BMC Veterinary Research is calling for submissions to our Collection on Innovations in veterinary diagnostic digital imaging.

This Collection aims to highlight cutting-edge research and developments in digital imaging technologies within veterinary diagnostics. Advancements in digital imaging technologies, including digital radiography, ultrasound, CT, and MRI, have transformed veterinary medicine by enabling more accurate and timely diagnoses. These innovations have significantly improved both the quality of care for animals and the efficiency of veterinary practices. With the increasing demand for sophisticated diagnostic tools, advancing our collective knowledge of the latest developments is crucial for further innovation.

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Meet the Guest Editors

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Ashraf M. Abu-Seida, PhD, Cairo University, Egypt

Dr Ashraf M. Abu-Seida has been a full Professor of Surgery, Anesthesiology, and Radiology at the Faculty of Veterinary Medicine, Cairo University since 2012. His main roles include teaching veterinary students and supervising MSc and PhD students. His main areas of interest include veterinary diagnostic digital imaging and dentistry. He is the director of the Cairo University Center for Printing and Publishing. He has authored or co-authored over 150 peer-reviewed articles and supervised more than 60 master's and PhD theses. He now serves as an editorial member and reviewer for over 40 reputed journals. Dr Abu-Seida has been bestowed various national awards for excellence in scientific research.

Małgorzata Domino, DVM, MSc, PhD, DSc, Warsaw University of Life Sciences, Poland

Dr Małgorzata Domino is an Associate Professor at the Warsaw University of Life Science (SGGW). She received a DVM in 2011 and an MSc in Animal Science in 2012. In 2015, she received a PhD in Veterinary Science for electromyographic research, and then in 2019, she received a DSc (habilitation) for advanced computational models in electromyographic research. She has authored or co-authored over 65 publications, mainly in the field of equine diagnostic imaging and functional research. She is an academic teacher of large and small animals diagnostic imaging and equine internal medicine at the Institute of Veterinary Medicine SGGW.

About the Collection

BMC Veterinary Research is calling for submissions to our Collection on Innovations in veterinary diagnostic digital imaging.

Advances in digital imaging technologies, ranging from traditional X-rays to cutting-edge modalities like CT scans and MRIs, have redefined veterinary diagnostics. This technological progression equips veterinarians with enhanced insights into animal anatomy, facilitating swift and accurate diagnoses.

Central to this evolution is the One Health approach, emphasizing the interconnectedness of human, animal, and environmental health. This collaborative paradigm has integrated the expertise of veterinary and medical professionals, helping to accelerate research, expand diagnostic capabilities, and refine treatment strategies that benefit both animals and humans.

This movement has also played a pivotal role in promoting precision veterinary care and responsible utilization of digital imaging technologies. By minimizing unnecessary procedures and optimizing imaging protocols, veterinarians can reduce radiation exposure, conserve resources, and contribute to a sustainable healthcare model.

The future of veterinary digital imaging is characterized by ongoing technological innovation, heightened diagnostic capabilities, and a more personalized approach to veterinary medicine. These developments hold the promise of elevating the standard of care for animals, enabling quicker and more accurate diagnoses, and ultimately enhancing the overall health and well-being of animals.

This Collection seeks to explore the multifaceted dimensions of digital imaging technologies in veterinary diagnostics, showcasing pioneering research and advances in this field. Submissions may include original research, opinion papers reviews, case reports, and study protocols.

Potential areas of interest include, but are not limited to:

Novel applications of digital imaging in veterinary diagnostics
Integration of artificial intelligence and machine learning in imaging analysis
Advances in radiographic, ultrasonographic, and tomographic imaging techniques
Development of innovative imaging modalities for early disease detection
Implementation of digital imaging for precise anatomical and pathological assessments
Utilization of imaging technologies in guiding minimally invasive procedures
Enhancement of digital imaging for comprehensive treatment monitoring and follow-up care
One Health and veterinary digital imaging

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Innovations in veterinary diagnostic digital imaging" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.