AIMC Topic: Fractures, Bone

Clear Filters Showing 111 to 120 of 187 articles

Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis.

Radiology
Background Patients with fractures are a common emergency presentation and may be misdiagnosed at radiologic imaging. An increasing number of studies apply artificial intelligence (AI) techniques to fracture detection as an adjunct to clinician diagn...

Human-robot-robot cooperative control using positioning robot and 1-DOF traction device for robot-assisted fracture reduction system.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
While performing musculoskeletal long bone fracture reduction surgery, assistant surgeons can often suffer from physical fatigue as they provide resistance against the tension from surrounding muscles pulling on the patient's broken bones. These days...

A Study on 3D Deep Learning-Based Automatic Diagnosis of Nasal Fractures.

Sensors (Basel, Switzerland)
This paper reported a study on the 3-dimensional deep-learning-based automatic diagnosis of nasal fractures. (1) Background: The nasal bone is the most protuberant feature of the face; therefore, it is highly vulnerable to facial trauma and its fract...

Constraint of musculoskeletal tissue and path planning of robot-assisted fracture reduction with collision avoidance.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: For the robot-assisted fracture reduction, due to the complex fracture musculoskeletal environment, it is necessary to consider the influence of soft tissue traction on preoperative reduction path planning.

Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence.

Radiology
Background Missed fractures are a common cause of diagnostic discrepancy between initial radiographic interpretation and the final read by board-certified radiologists. Purpose To assess the effect of assistance by artificial intelligence (AI) on dia...

Percutaneous Robot-Assisted versus Freehand S Iliosacral Screw Fixation in Unstable Posterior Pelvic Ring Fracture.

Orthopaedic surgery
OBJECTIVES: To assess the efficiency, safety, and accuracy of S (IS) screw fixation using a robot-assisted method compared with a freehand method.

Robot-assisted versus conventional percutaneous sacroiliac screw fixation for posterior pelvic ring injuries: a systematic review and meta-analysis.

European journal of orthopaedic surgery & traumatology : orthopedie traumatologie
PURPOSE: Robot-assisted pelvic screw fixation is a new technology with promising benefits on intraoperative outcomes for patients with posterior pelvic ring injuries. We aim to compare robot-assisted pelvic screw fixation to the traditional fluorosco...

Ultrasound Images Guided under Deep Learning in the Anesthesia Effect of the Regional Nerve Block on Scapular Fracture Surgery.

Journal of healthcare engineering
In order to discuss the clinical characteristics of patients with scapular fracture, deep learning model was adopted in ultrasound images of patients to locate the anesthesia point of patients during scapular fracture surgery treated with the regiona...

Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning.

Nature communications
Dual-energy X-ray absorptiometry (DXA) is underutilized to measure bone mineral density (BMD) and evaluate fracture risk. We present an automated tool to identify fractures, predict BMD, and evaluate fracture risk using plain radiographs. The tool pe...