AIMC Topic: Robotic Surgical Procedures
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Robot-Assisted CT-Guided Biopsy with an Artificial Intelligence-Based Needle-Path Generator: An Experimental Evaluation Using a Phantom Model.
Journal of vascular and interventional radiology : JVIR
Jan 21, 2025
PURPOSE: To investigate the feasibility of a robotic system with artificial intelligence-based lesion detection and path planning for computed tomography (CT)-guided biopsy compared with the conventional freehand technique.
National survey on data governance and digital surgery: Challenges and opportunities for surgeons in the era of artificial intelligence.
Cirugia espanola
Jan 21, 2025
INTRODUCTION: This study evaluates the knowledge of Spanish surgeons regarding data governance and Digital Surgery, their usage, errors, and training deficiencies, as well as differences in knowledge between those who perform robotic surgery and thos...
Predicting Robotic Hysterectomy Incision Time: Optimizing Surgical Scheduling with Machine Learning.
JSLS : Journal of the Society of Laparoendoscopic Surgeons
Jan 17, 2025
BACKGROUND AND OBJECTIVES: Operating rooms (ORs) are critical for hospital revenue and cost management, with utilization efficiency directly affecting financial outcomes. Traditional surgical scheduling often results in suboptimal OR use. We aim to b...
Robust Path Planning via Learning From Demonstrations for Robotic Catheters in Deformable Environments.
IEEE transactions on bio-medical engineering
Jan 15, 2025
OBJECTIVE: Navigation through tortuous and deformable vessels using catheters with limited steering capability underscores the need for reliable path planning. State-of-the-art path planners do not fully account for the deformable nature of the envir...
Deep Learning for Predicting Difficulty in Radical Prostatectomy: A Novel Evaluation Scheme.
Urology
Jan 13, 2025
OBJECTIVE: To explore new metrics for assessing radical prostatectomy difficulty through a two-stage deep learning method from preoperative magnetic resonance imaging.
Video-based robotic surgical action recognition and skills assessment on porcine models using deep learning.
Surgical endoscopy
Jan 13, 2025
OBJECTIVES: This study aimed to develop an automated skills assessment tool for surgical trainees using deep learning.
A real-time approach for surgical activity recognition and prediction based on transformer models in robot-assisted surgery.
International journal of computer assisted radiology and surgery
Jan 12, 2025
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 m...
Haptic Shared Control Framework with Interaction Force Constraint Based on Control Barrier Function for Teleoperation.
Sensors (Basel, Switzerland)
Jan 11, 2025
Current teleoperated robotic systems for retinal surgery cannot effectively control subtle tool-to-tissue interaction forces. This limitation may lead to patient injury caused by the surgeon's mistakes. To improve the safety of retinal surgery, this ...
Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation.
Journal of robotic surgery
Jan 7, 2025
Artificial intelligence and robotics are revolutionizing surgical practices by enhancing precision, efficiency, and patient outcomes. With global healthcare systems increasingly adopting AI-driven technologies, the integration of robotics in surgery ...
Real-time isolation of physiological tremor using recursive singular spectrum analysis and random vector functional link for surgical robotics.
ISA transactions
Jan 4, 2025
Hand-held robotic instruments enhance precision in microsurgery by mitigating physiological tremor in real time. Current tremor filtering algorithms in these instruments often employ nonlinear phase prefilters to isolate the tremor signal. However, t...
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