AIMC Topic: Minimally Invasive Surgical Procedures
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Mobile locally operated detachable end-effector manipulator for endoscopic surgery.
International journal of computer assisted radiology and surgery
May 6, 2014
PURPOSE: Local surgery is safer than remote surgery because emergencies can be more easily addressed. Although many locally operated surgical robots and devices have been developed, none can safely grasp organs and provide traction. A new manipulator...
Combining C-arm CT with a new remote operated positioning and guidance system for guidance of minimally invasive spine interventions.
Journal of neurointerventional surgery
Mar 5, 2014
OBJECTIVE: To report our experience using C-arm cone beam CT (C-arm CBCT) combined with the new remote operated positioning and guidance system, iSYS1, for needle guidance during spinal interventions.
Novel Design of a Surgical Tool Insertion Robot Using a Chebyshev Lambda Mechanism.
The international journal of medical robotics + computer assisted surgery : MRCAS
Aug 1, 2025
BACKGROUND: Endoscopic Retrograde Cholangiopancreatography (ERCP) and Percutaneous Coronary Intervention (PCI) are minimally invasive procedures that treat diseases with minimal scarring and rapid recovery. However, catheterisation under fluoroscopy ...
A Review on Surgical Robotic Platforms Including RMIS, AI-Based CAS Systems, Challenges, and Future Directions.
The international journal of medical robotics + computer assisted surgery : MRCAS
Aug 1, 2025
BACKGROUND: Surgical Robotic Platforms (SRPs) have transformed the way surgeons perform Robot-Assisted Minimally Invasive Surgeries (RMIS). SRPs utilize Computer-Assisted Surgery (CAS) systems to guide surgeons.
From planning to prognosis: predicting renal function after minimally-invasive partial nephrectomy with artificial intelligence.
Minerva urology and nephrology
Jun 1, 2025
This study presents a machine learning model to predict renal function decline following minimally-invasive partial nephrectomy. Using a dataset of 556 patients treated between 2015 and 2023, the model incorporated patient, tumor, and intraoperative ...
[Current treatment status and future perspectives of advanced gallbladder cancer].
Zhonghua wai ke za zhi [Chinese journal of surgery]
Jun 1, 2025
Gallbladder cancer has an insidious onset,and most of the cases are in advanced stage at the time of diagnosis,with unfavorable prognosis. Radical surgery is the only potential curative method for gallbladder cancer at present,but radical surgery of ...
[Three-Dimensional Reconstruction Technique and Its Application of Binocular Endoscopic Images Based on Deep Learning].
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Mar 30, 2025
The clinical application of binocular endoscope relies primarily on the visual system of physicians to create a three-dimensional effect, but it cannot provide accurate depth information. The utilization of 3D reconstruction technology in binocular e...
[Research Progress and Prospects of Minimally Invasive Surgical Instrument Segmentation Methods Based on Artificial Intelligence].
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Jan 30, 2025
With the development of artificial intelligence technology and the growing demand for minimally invasive surgery, the intelligentization of minimally invasive surgery has become a current research hotspot. Surgical instrument segmentation is a highly...
Beyond PhacoTrainer: Deep Learning for Enhanced Trabecular Meshwork Detection in MIGS Videos.
Translational vision science & technology
Sep 3, 2024
PURPOSE: The purpose of this study was to develop deep learning models for surgical video analysis, capable of identifying minimally invasive glaucoma surgery (MIGS) and locating the trabecular meshwork (TM).
The Recurrent U-Net for Needle Segmentation in Ultrasound Image-Guided Surgery.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
In minimally invasive surgery, poor needle visualization under ultrasound has been one of the challenges of the surgery. To improve the resulting puncture error, it is effective to use deep learning from the image level to assist the surgeon in locat...
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