This journal focuses on the application of computer-assisted technologies and artificial intelligence in various surgical procedures. It covers topics such as deep learning for diagnostic assistance, robotic-assisted surgery for precision and minimally invasive techniques, and the use of simulation and virtual reality for surgical planning and patient education. The journal also explores advanced imaging techniques, biomechanical analysis using finite element analysis and machine learning, and the development of novel algorithms for image segmentation, registration, and surgical phase recognition.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Family PracticeQ2
Computer Science ApplicationsQ3
SurgeryQ3
Subject Classification
Web of Science Categories
Surgery
Scopus Categories
Computer Science ApplicationsSurgeryFamily Practice
Research Topics (OpenAlex)
Surgical Simulation and TrainingOrthopaedic implants and arthroplastySoft Robotics and ApplicationsTotal Knee Arthroplasty OutcomesAnatomy and Medical TechnologyMedical Image Segmentation TechniquesSpinal Fractures and Fixation TechniquesAugmented Reality ApplicationsMedical Imaging and AnalysisSpine and Intervertebral Disc Pathology