AI Medical Compendium Topic

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Fractures, Bone

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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...

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis.

Frontiers of medicine
The fracture risk of patients with diabetes is higher than those of patients without diabetes due to hyperglycemia, usage of diabetes drugs, changes in insulin levels, and excretion, and this risk begins as early as adolescence. Many factors includin...

Bone collision detection method for robot assisted fracture reduction based on force curve slope.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The application of robot technology in fracture reduction ensures the minimal invasiveness and accurate operation process. Most of the existing robot assisted fracture reduction systems don't have the function of bone collis...

Detecting pelvic fracture on 3D-CT using deep convolutional neural networks with multi-orientated slab images.

Scientific reports
Pelvic fracture is one of the leading causes of death in the elderly, carrying a high risk of death within 1 year of fracture. This study proposes an automated method to detect pelvic fractures on 3-dimensional computed tomography (3D-CT). Deep convo...