AIMC Topic: Pelvis
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A novel flexible hyper-redundant surgical robot: prototype evaluation using a single incision flexible access pelvic application as a clinical exemplar.
Surgical endoscopy
Aug 9, 2014
INTRODUCTION: The flexible endoscope is increasingly being considered as a surgical tool to enable innovative natural orifice or flexible access techniques. These experiences have exposed unique advantages but also significant challenges. Major curre...
Walking with robot assistance: the influence of body weight support on the trunk and pelvis kinematics.
Disability and rehabilitation. Assistive technology
Feb 11, 2014
PURPOSE: The goal was to assess in healthy participants the three-dimensional kinematics of the pelvis and the trunk during robot-assisted treadmill walking (RATW) at 0%, 30% and 50% body weight support (BWS), compared with treadmill walking (TW).
Validation of a novel artificial intelligence model (SpinePose) to automatically and accurately predict spinopelvic parameters using scoliosis radiographs in an external cohort.
Neurosurgical focus
Jun 1, 2025
OBJECTIVE: SpinePose was developed in 2024 as a novel artificial intelligence (AI) tool to automatically predict spinopelvic parameters with high accuracy and without the need for manual entry. The authors' published results demonstrated excellent pe...
The automatic pelvic screw corridor planning for intact pelvises based on deep learning deformable registration.
Computers in biology and medicine
Jun 1, 2025
Percutaneous screw fixation technique in pelvic trauma surgery is an extremely challenging operation that typically requires a trial-and-error insertion process under the guidance of continuous intraoperative X-ray. This process can be simplified by ...
Automated determination of hip arthrosis on the Kellgren-Lawrence scale in pelvic digital radiographs scans using machine learning.
Computer methods and programs in biomedicine
Jun 1, 2025
BACKGROUND AND OBJECTIVE: Automated analysis of digital radiographs of the pelvis to determine the hip arthrosis state in concordance with the Kellgren-Lawrence scale could facilitate and standardize radiogram descriptions.
Scatter and beam hardening effect corrections in pelvic region cone beam CT images using a convolutional neural network.
Radiological physics and technology
Jun 1, 2025
The aim of this study is to remove scattered photons and beam hardening effect in cone beam CT (CBCT) images and make an image available for treatment planning. To remove scattered photons and beam hardening effect, a convolutional neural network (CN...
An automated hip fracture detection, classification system on pelvic radiographs and comparison with 35 clinicians.
Scientific reports
May 8, 2025
Accurate diagnosis of orthopedic injuries, especially pelvic and hip fractures, is vital in trauma management. While pelvic radiographs (PXRs) are widely used, misdiagnosis is common. This study proposes an automated system that uses convolutional ne...
A quantitative analysis of symmetry on standard anteroposterior pelvic X-ray.
Acta orthopaedica et traumatologica turcica
Apr 29, 2025
Objective: A pelvic X-ray examination might not be accomplished accurately if the images are not acquired properly. In this study, the aim was to develop an automated model using artificial intelligence capable of accurately quantifying the symmetry ...
Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study.
Radiation protection dosimetry
Apr 22, 2025
We created and validated an open-access AI algorithm (AIc) for assessing image segmentation and patient centering in a multi-body-region, multi-center, and multi-scanner study. Our study included 825 head, chest, and abdomen-pelvis CT from 275 patien...
Accuracy of Large Language Model-based Automatic Calculation of Ovarian-Adnexal Reporting and Data System MRI Scores from Pelvic MRI Reports.
Radiology
Apr 1, 2025
Background Ovarian-Adnexal Reporting and Data System (O-RADS) for MRI helps assign malignancy risk, but radiologist adoption is inconsistent. Automatic assignment of O-RADS scores from reports could increase adoption and accuracy. Purpose To evaluate...
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