New Special Issue: Artificial Intelligence (AI) for Minimally Invasive Robotics

Special Issue Editor

Bogdan Maris, Assistant Professor, Department of Computer Science, University of Verona Ca' Vignal 2 - Strada Le Grazie 15, 37134 VERONA, Italy
Interests: Medical robotics, Medical image processing, Artificial Intelligence, Minimally invasive robotic procedures

Special Issue Information

Dear colleagues,

Minimally invasive robotics become more important in hospitals due to the high accuracy and operator independence. Before the surgery, the patient undergoes MRI or CT scans to diagnose the disease and to plan the intervention. The diagnosis and planning is done in the pre-operative imaging space, while the procedure is performed in the patient and robot space. Therefore, the two spaces must be rigidly related for hard tissue surgery (e.g. orthopedic) and non-rigidly (e.g. prostate). Algorithms for image registration and continuous update of the planning in the robotic space are required to give the robot a high potential in terms of accuracy during the intervention. Approaches based on artificial intelligence have the potential to solve the registration and robotic registration problem and to automate the processing of pre-operative images as well (e.g. automatic diagnosis of tumors).
The Research Topic aims at presenting the latest developments and advances in intelligent surgical systems that include AI algorithms to improve the outcome of the procedure through image processing, automatic registration, real-time update of the position of the robot and of the planning.
Articles introducing new medical systems and describing new clinically-relevant AI algorithms for robotic medical procedures are welcomed in this Special Issue. Topics of interest include, but are not limited to the following:

-Medical robotics guided by radiologic imaging
-Development of target localization algorithms using robotic assistance and AI
-Medical image segmentation methods (e.g. organs, lesions)
-Image-to-image and image-to-patient registration algorithms based on supervised and/or non-supervised AI methods (i.e. surface based, point cloud-based)
-Computer assisted diagnosis based on AI
-Interventional organ motion modelling based on real-time AI
-Deformation compensation and organ tracking in medical robotic procedures
-Machine learning and AI for surgical data science.

Keywords: Medical image segmentation, medical image registration, AI for medical image processing, robots for minimally invasive procedures, computer assisted radiology, deformation compensation

Dr. Bogdan Maris
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted at the online system (https://www.hksmp.com/journals/mr/about/submissions). 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.
Please visit the Author Guidelines (https://www.hksmp.com/journals/mr/authorguide) page before submitting a manuscript. Submitted papers should be well formatted and use good English.