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A real-time approach for surgical activity recognition and prediction based on transformer models in robot-assisted surgery.
Int J Comput Assist Radiol Surg
January 2025
Advanced Medical Devices Laboratory, Kyushu University, Nishi-ku, Fukuoka, 819-0382, Japan.
Purpose: This paper presents a deep learning approach to recognize and predict surgical activity in robot-assisted minimally invasive surgery (RAMIS). Our primary objective is to deploy the developed model for implementing a real-time surgical risk monitoring system within the realm of RAMIS.
Methods: We propose a modified Transformer model with the architecture comprising no positional encoding, 5 fully connected layers, 1 encoder, and 3 decoders.
Comparing Aggregate Fibroid Weight in Abdominal Versus Minimally Invasive Myomectomies in a Community Health System.
J Minim Invasive Gynecol
January 2025
Department of Obstetrics and Gynecology, Lankenau Medical Center, Wynnewood, Pennsylvania, USA.
Study Objective: To compare the aggregate fibroid specimen weights between abdominal and minimally invasive (MI) myomectomies to determine whether fibroid burden significantly impacts surgical approach to myomectomy.
Design: Retrospective cohort study; INTERVENTIONS: Comparison of aggregate fibroid specimen weights between abdominal and MI myomectomies SETTING: Community health care system.
Patients: 281 patients undergoing abdominal and MI myomectomies between March 2018 and December 2023.
Reply to Editorial Comment on "Student Urology Conference Increases Participant Knowledge of Urology Match and Confidence in Research".
Urology
January 2025
The Warren Alpert Medical School, Brown University, Providence, RI, USA; Minimally Invasive Urology Institute, The Miriam Hospital, Providence, RI, USA; Division of Urology, The Warren Alpert Medical School of Brown University, Providence, RI, USA.
A comparative study of transforaminal and interlaminar approaches in percutaneous endoscopic lumbar discectomy for L5-S1 disc Herniation: Systematic review.
J Clin Neurosci
January 2025
Division of Neurosurgery, Department of Surgery, Brawijaya University/Saiful Anwar General Hospital, Malang, East Java, Indonesia.
Background: Percutaneous Endoscopic Lumbar Discectomy (PELD) is a leading minimally invasive technique for lumbar disc herniation (LDH). The two primary approaches, transforaminal (PETD) and interlaminar (PEID), each present distinct advantages and challenges in treating L5-S1 LDH. This study aims to compare the efficacy and safety of these two approaches.
View Article and Find Full Text PDFMachine learning and statistical shape modelling for real-time prediction of stent deployment in realistic anatomies.
Comput Methods Programs Biomed
January 2025
Mines Saint-Etienne, Univ Jean Monnet, Etablissement Francais du Sang, INSERM, U 1059 Sainbiose, Centre CIS, F-42023, Saint-Etienne, France. Electronic address:
The rise in minimally invasive procedures has created a demand for efficient and reliable planning software to predict intra- and post-operative outcomes. Surrogate modelling has shown promise, but challenges remain, particularly in cardiovascular applications, due to the complexity of parametrising anatomical structures and the need for large training datasets. This study aims to apply statistical shape modelling and machine learning for predicting stent deployment in real time using patient-specific models.
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