AI Medical Compendium Journal:
International journal of computer assisted radiology and surgery

Showing 101 to 110 of 481 articles

Toward a novel soft robotic system for minimally invasive interventions.

International journal of computer assisted radiology and surgery
PURPOSE: During minimally invasive surgery, surgeons maneuver tools through complex anatomies, which is difficult without the ability to control the position of the tools inside the body. A potential solution for a substantial portion of these proced...

Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus.

International journal of computer assisted radiology and surgery
PURPOSE: Paranasal anomalies are commonly discovered during routine radiological screenings and can present with a wide range of morphological features. This diversity can make it difficult for convolutional neural networks (CNNs) to accurately class...

Comparative verification of control methodology for robotic interventional neuroradiology procedures.

International journal of computer assisted radiology and surgery
PURPOSE: The use of robotics is emerging for performing interventional radiology procedures. Robots in interventional radiology are typically controlled using button presses and joystick movements. This study identified how different human-robot inte...

Deep learning-based age estimation from chest CT scans.

International journal of computer assisted radiology and surgery
PURPOSE: Medical imaging can be used to estimate a patient's biological age, which may provide complementary information to clinicians compared to chronological age. In this study, we aimed to develop a method to estimate a patient's age based on the...

Trocar localisation for robot-assisted vitreoretinal surgery.

International journal of computer assisted radiology and surgery
PURPOSE: Robot-assisted vitreoretinal surgery provides precise and consistent operations on the back of the eye. To perform this safely, knowledge of the surgical instrument's remote centre of motion (RCM) and the location of the insertion point into...

A spatio-temporal network for video semantic segmentation in surgical videos.

International journal of computer assisted radiology and surgery
PURPOSE: Semantic segmentation in surgical videos has applications in intra-operative guidance, post-operative analytics and surgical education. Models need to provide accurate predictions since temporally inconsistent identification of anatomy can h...

Two-stage multi-task deep learning framework for simultaneous pelvic bone segmentation and landmark detection from CT images.

International journal of computer assisted radiology and surgery
PURPOSE: Pelvic bone segmentation and landmark definition from computed tomography (CT) images are prerequisite steps for the preoperative planning of total hip arthroplasty. In clinical applications, the diseased pelvic anatomy usually degrades the ...

Sources of performance variability in deep learning-based polyp detection.

International journal of computer assisted radiology and surgery
PURPOSE: Validation metrics are a key prerequisite for the reliable tracking of scientific progress and for deciding on the potential clinical translation of methods. While recent initiatives aim to develop comprehensive theoretical frameworks for un...

Ultrasound guidance in navigated liver surgery: toward deep-learning enhanced compensation of deformation and organ motion.

International journal of computer assisted radiology and surgery
PURPOSE: Accuracy of image-guided liver surgery is challenged by deformation of the liver during the procedure. This study aims at improving navigation accuracy by using intraoperative deep learning segmentation and nonrigid registration of hepatic v...

On the importance of patient acceptance for medical robotic imaging.

International journal of computer assisted radiology and surgery
PURPOSE: Mutual acceptance is required for any human-to-human interaction. Therefore, one would assume that this also holds for robot-patient interactions. However, the medical robotic imaging field lacks research in the area of acceptance. This work...