BACKGROUND: Endodontic microsurgery (EMS) is a widely utilized technique for addressing periapical periodontitis that is unresponsive to conventional root canal treatment. Nevertheless, achieving precise root apex location and resection can pose sign...
INTRODUCTION: Vestibular schwannoma is the most common neoplasm located at the skull base. The therapeutic strategy for managing vestibular schwannoma is formulated based on individual patient characteristics and specific imaging findings. Recently, ...
Mastering microsurgical skills is essential for neurosurgical trainees. Video-based analysis of target tissue changes and surgical instrument motion provides an objective, quantitative method for assessing microsurgical proficiency, potentially enhan...
BACKGROUND: Minimally invasive microscopic and endoscopic neurosurgery demands precise use of high-speed micro-drilling tools to prevent potential complications. Present-day neuro-drilling training methods include cadaveric specimens and surgical sim...
To develop a deep-learning model that improves the segmentation and detection of Facial Nerve in microsurgery, thereby increasing surgical precision and safety. We collected videos from 25 patients undergoing facial nerve decompression microsurgery. ...
The Journal of hand surgery, European volume
Mar 27, 2025
Robotic surgery is a rapidly evolving field that will potentially play a pivotal role in future patient care. There are specific challenges that needs circumventing for each surgical specialty. This article discusses the current robotic surgical syst...
Delicate manual microsurgeries rely on sufficient hands-on experience for safe manipulations. Automated surgical devices can enhance the effectiveness, but developing high-resolution, multi-axis force-sensing devices for micro operations remains chal...
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Nov 26, 2024
Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn from data and discern patterns without direct instruction. This review explores cutting-edge developments in microsurgery through the lens of AI applica...
Journal of magnetic resonance imaging : JMRI
Nov 5, 2024
BACKGROUND: Tubular microdiscectomy (TMD) is a treatment for lumbar disc herniation (LDH). Although the combination of MRI and deep learning (DL) has shown promise, its application in evaluating postoperative outcomes in TMD has not been fully explor...
OBJECTIVE: Deep learning enables precise hand tracking without the need for physical sensors, allowing for unsupervised quantitative evaluation of surgical motion and tasks. We quantitatively assessed the hand motions of experienced cerebrovascular n...
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