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Call for papers - Advancements in fetal imaging and diagnostics

Guest Editors

Su-Zhen Dong, MD, PhD, Shanghai Jiao Tong University School of Medicine, China
Jacqueline Matthew, PhD, King’s College London, UK
Alena Uus, PhD, King’s College London, UK

Submission Status: Open   |   Submission Deadline: 6 November 2025

BMC Pediatrics invites submissions to our new Collection, Advancements in fetal imaging and diagnostics, highlighting recent breakthroughs in imaging technologies and diagnostic tools that enhance our understanding of fetal development. This Collection seeks original research on topics like ultrasonography, MRI, 3D/4D imaging, AI integration, biomarkers, and non-invasive methods, all aimed at improving neonatal health.

New Content ItemThis Collection supports and amplifies research related to SDG 3: Good Health and Well-being.

Meet the Guest Editors

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Su-Zhen Dong, MD, PhD, Shanghai Jiao Tong University School of Medicine, China

Dr Dong is the Chief Pediatric Radiologist and PhD Tutor at Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine. She has interests in fetal MRI, pediatric neuroradiology, and body imaging. Dr Dong is Vice-Chair of Diagnostic Imaging & Radiology and Director of Fetal MRI, Section editor of Pediatric Radiology. She serves on the Neonatal & Fetal Imaging committees of the Society of Pediatric Radiology and was a Visiting Fellow at the Children's National Medical Center, Washington, DC. Dr Dong was awarded as National Excellent Young Physician. 

Jacqueline Matthew, PhD, King’s College London, UK

Dr Matthew is an experienced clinical academic specializing in medical imaging, including radiography, sonography, and artificial intelligence. Her research spans a diverse range of topics, including obstetrics and gynaecology imaging, screening and diagnosis, clinical education, advanced topics in US and structural MRI, image registration, 3D imaging techniques, and automated clinical workflows using machine learning. She also has expertise in clinical translation in the context of medical engineering, contributing to advances in imaging technologies and AI-driven healthcare solutions.

Alena Uus, PhD, King’s College London, UK

Dr Uus is a Research Associate in the Research Department of Early Life Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. Dr Uus holds a PhD in Information Engineering and her current projects focus on motion correction and segmentation for fetal and neonatal MRI.
 

About the Collection

BMC Pediatrics invites submissions to our new Collection, Advancements in fetal imaging and diagnostics. Recent advancements in imaging technologies and diagnostic tools have revolutionized the way we understand fetal development. From early detection of congenital anomalies to more precise monitoring of fetal growth and well-being, these innovations hold the potential to improve outcomes for neonates. This Collection aims to bring together cutting-edge research that explores novel methodologies, clinical applications, and interdisciplinary approaches in fetal imaging and diagnostics, enhancing our ability to manage prenatal conditions and to predict, prevent health disorders in neonates.

We welcome original research that explores various aspects of advancements in fetal imaging and diagnostics, with an outcome or promise to improve neonatal health. Key topics of interest include, but are not limited to:

  • Breakthroughs in imaging techniques such as ultrasonography, magnetic resonance imaging, and other novel 3D/4D imaging modalities
  • The integration of artificial intelligence and machine learning in advanced diagnostics
  • Studies exploring biomarkers and non-invasive diagnostic methods that complement imaging findings
  • Research focused on early detection and risk stratification, particularly in relation to congenital anomalies and fetal growth restriction
  • Novel approaches to improve the accuracy, safety, and accessibility of fetal imaging in clinical practice


This Collection supports and amplifies research related to SDG 3: Good Health and Well-being.

All manuscripts submitted to this journal, including those submitted to Collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.
 

Image credit: © UrsaHoogle / Getty Images / iStock

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 "Advancements in fetal imaging and diagnostics" from the dropdown menu.

All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.