Introducing BMC Biomedical Engineering’s Collection: Surgical robotics

BMC Biomedical Engineering warmly welcomes submissions to its Collection on the development and testing of new robotic devices for robot-assisted surgical operations as well as telerobotic solutions.

The integration of robotics into surgical practice has enabled advancements in minimally invasive surgery, increasing precision and reducing complications, leading to improved patient outcomes. Telerobotics has further expanded the capabilities of surgical interventions, allowing for remote surgical procedures.

While the design of more compact and versatile surgical robotic devices has expanded the range of procedures that can benefit from robotic assistance, it is important to continue advancing our collective understanding in the field of surgical robotics to further enhance patient safety, surgical precision, and post-operative recovery.

The Collection Surgical robotics welcomes submissions on the development and testing of new robotic devices for robot-assisted surgical operations, as well as telerobotic solutions.

This Collection supports and amplifies research related to SDG 3: Good Health and Well-being and SDG 9: Industry, Innovation, and Infrastructure.

Meet the Guest Editors

Mobarakol Islam, PhD, University College London, UK

Dr Mobarakol Islam is a Senior Research Fellow at the Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS) and the Department of Medical Physics and Biomedical Engineering at University College London. He has a distinguished background in AI, Surgical Data Science, and Medical Image Analysis, with postdoctoral experience at Imperial College London and the National University of Singapore, where he also completed his PhD, in addition to four years of industry experience at SAMSUNG R&D. His research endeavors focus on developing AI foundation models and multimodal large language models that prioritize safety, fairness, and reliability, particularly in medical applications. Dr Islam’s contributions and leadership have been recognized through his roles as Area Chair and Oral Session Chair at MICCAI, an Editorial Board Member at Scientific Reports, and numerous awards, including the Turing Postdoctoral Enrichment Award.

Ken Masamune, PhD, Tokyo Women’s Medical University, Japan

Dr Ken Masamune is a Professor at the Tokyo Women’s Medical University, Japan.  His major is in the field of medical robotics, augmented reality for surgery, surgical scenario research, and regulator science study on development of medical equipment. The representative works are MRI compatible robots for needle placement therapy, augmented reality for surgical navigation with non-metal display inside MRI, Smart Cyber Operating Theater (SCOT) with an AI support system. Dr Masamune’s research aims to utilize clinical settings to assist surgeons, and finally contribute to improving patient quality of life.

Submission guidelines

This Collection welcomes submission of original Research articles and Software articles. Review articles will be considered at the Editor’s discretion. Before submitting your manuscript, please ensure you have read our submission guidelines. 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 [“Surgical robotics”] 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 Guest 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 Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.

If accepted for publication, article processing charges applies. Please click here to find out about our standard waiver policy.

The Collection is now open for submissions! The submission deadline is January 30th 2025.

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