Computer Vision and AI in Orthopedic Surgery
A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Computer Vision and Pattern Recognition".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 772
Special Issue Editors
Interests: registration; augmented reality; intraoperative data; deep and reinforcement learning; instrument tracking; user and validation studies; orthopedic surgery
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; people tracking and pose estimation; video analysis and understanding; virtual humans; egocentric vision; machine learning
Interests: surgical process modeling; computer-aided surgery; surgical navigation; accuracy and early clinical outcome; robotic surgery; augmented reality; pre-clinical trials, translational research
Special Issue Information
Dear Colleagues,
Computer vision and Artificial Intelligence (AI) are emerging as key technologies in computer-assisted orthopedic surgery and have recently led to breakthroughs in performance and autonomy. In the years ahead, these technologies will emerge as the most important lever to aim to improve quality, efficiency, and outcomes of surgical care. However, there are significant scientific and technical challenges that we need to overcome.
In this Special Issue we call for original articles, review articles, concept papers, as well as preclinical and clinical studies that demonstrate the benefits and challenges of computer vision and AI in orthopedic surgery.
Aim
The aim of this Special Issue is to showcase cutting-edge applications of computer vision, artificial intelligence, and mixed reality in orthopedics such as surgical planning, surgical navigation, intraoperative decision making, surgical workflow analysis, surgical training, and robotic surgery. Our goal is to highlight how these technologies are shaping tomorrow's orthopedic surgery and patient care.
Scope
The scope of the special issue includes research articles from the following technical research domains:
▪ Surgical data science;
▪ Data acquisition and fusion;
▪ Segmentation and visualization of intraoperative image and video modalities;
▪ Spine surgery;
▪ Machine learning (i.e., deep learning, reinforcement learning, generative models, transformers);
▪ Synthetic data generation, Sim2Real;
▪ Robotics and smart instrumentation;
▪ Virtual and augmented reality;
▪ Shape and photorealistic scene reconstruction;
▪ Pose and tool tracking techniques;
▪ Human–machine collaboration;
▪ Real-time AI inference and decision making;
▪ Innovative user studies, pre-clinical or clinical investigations.
An application in orthopedic surgery (open and arthroscopic) or closely related surgical fields must be clearly evident.
Prof. Dr. Philipp Fürnstahl
Prof. Dr. Siyu Tang
Dr. Fabio Carrillo
Dr. Sergey Prokudin
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 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. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly 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 1800 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
- computer-assisted orthopedic surgery
- surgical data science
- intraoperative imaging
- multimodal data acquisition and fusion
- real-time AI methods
- virtual and augmented reality
- surgical robotics
