AIMC Topic: Surgery, Computer-Assisted

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Phase recognition in manual Small-Incision cataract surgery with MS-TCN + + on the novel SICS-105 dataset.

Scientific reports
Manual Small-Incision Cataract Surgery (SICS) is a prevalent technique in low- and middle-income countries (LMICs) but understudied with respect to computer assisted surgery. This prospective cross-sectional study introduces the first SICS video data...

Pioneering AI-guided fluorescence-like navigation in urological surgery: real-time ureter segmentation during robot-assisted radical cystectomy using convolutional neural network.

Journal of robotic surgery
Artificial intelligence (AI)-driven intraoperative navigation in urological surgery can enhance surgical precision through real-time structure identification and tracking. This study describes a novel AI solution that enables real-time fluorescence-l...

ConsisTNet: a spatio-temporal approach for consistent anatomical localization in endoscopic pituitary surgery.

International journal of computer assisted radiology and surgery
PURPOSE: Automated localization of critical anatomical structures in endoscopic pituitary surgery is crucial for enhancing patient safety and surgical outcomes. While deep learning models have shown promise in this task, their predictions often suffe...

Development and precision evaluation of a robotic system for oral implant surgery using personalized digital guides and optical spatial positioning technology.

PloS one
Oral implant surgery demands a high level of precision and expertise, making the integration of robotic assistance an optimal solution. This study introduces an innovative dental implant robotic system designed to enhance accuracy during cavity prepa...

SegMatch: semi-supervised surgical instrument segmentation.

Scientific reports
Surgical instrument segmentation is recognised as a key enabler in providing advanced surgical assistance and improving computer-assisted interventions. In this work, we propose SegMatch, a semi-supervised learning method to reduce the need for expen...

Robot-assisted ultrasound probe calibration for image-guided interventions.

International journal of computer assisted radiology and surgery
BACKGROUND: Trackable ultrasound probes facilitate ultrasound-guided procedures, allowing real-time fusion of augmented ultrasound images and live video streams. The integration aids surgeons in accurately locating lesions within organs, and this cou...

Reinforcement learning for safe autonomous two-device navigation of cerebral vessels in mechanical thrombectomy.

International journal of computer assisted radiology and surgery
PURPOSE: Autonomous systems in mechanical thrombectomy (MT) hold promise for reducing procedure times, minimizing radiation exposure, and enhancing patient safety. However, current reinforcement learning (RL) methods only reach the carotid arteries, ...

Guided ultrasound acquisition for nonrigid image registration using reinforcement learning.

Medical image analysis
We propose a guided registration method for spatially aligning a fixed preoperative image and untracked ultrasound image slices. We exploit the unique interactive and spatially heterogeneous nature of this application to develop a registration algori...

The Role of 3D technology in corrective osteotomy for forearm malunion.

The Journal of hand surgery, European volume
Forearm malunion affects upper limb function, impairing rotation, grip strength, and dexterity. Traditional osteotomies, based on two-dimensional imaging and intraoperative adjustments, may fail to address the intricate three-dimensional aspects of f...

Clinical Application of Artificial Intelligence Preoperative Planning System Combined with Expert Database Retrieval in Complex Revision Hip Surgery.

Journal of visualized experiments : JoVE
Accurate preoperative planning in revision hip arthroplasty is crucial for achieving successful outcomes. To enhance the intuitive evaluation of acetabular bone defect severity and leverage previous successful experience in revision hip arthroplasty,...