AIMC Topic: Fractures, Bone
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Cracking the Code: The Role of Peripheral Nervous System Signaling in Fracture Repair.
Current osteoporosis reports
Jan 18, 2024
PURPOSE OF REVIEW: The traditionally understated role of neural regulation in fracture healing is gaining prominence, as recent findings underscore the peripheral nervous system's critical contribution to bone repair. Indeed, it is becoming more evid...
Robot-assisted close reduction with double screw fixation for the coracoid-process base fracture: A case report.
Asian journal of surgery
Dec 29, 2023
Artificial intelligence for X-ray scaphoid fracture detection: a systematic review and diagnostic test accuracy meta-analysis.
European radiology
Dec 15, 2023
OBJECTIVES: Scaphoid fractures are usually diagnosed using X-rays, a low-sensitivity modality. Artificial intelligence (AI) using Convolutional Neural Networks (CNNs) has been explored for diagnosing scaphoid fractures in X-rays. The aim of this syst...
Deep-learning-based image quality enhancement of CT-like MR imaging in patients with suspected traumatic shoulder injury.
European journal of radiology
Dec 2, 2023
PURPOSE: To evaluate the diagnostic performance of CT-like MR images reconstructed with an algorithm combining compressed sense (CS) with deep learning (DL) in patients with suspected osseous shoulder injury compared to conventional CS-reconstructed ...
Minimally invasive percutaneous screw internal fixation under robot navigation for the treatment of a hamate bone fracture.
BMC musculoskeletal disorders
Dec 1, 2023
PURPOSE: Hamate fractures are rare fractures of the wrist and there is still no consensus on the optimal treatment for these fractures, especially hook of hamate fractures. Herein, the authors present a case study of a series of patients who were tre...
Assessing the Potential of a Deep Learning Tool to Improve Fracture Detection by Radiologists and Emergency Physicians on Extremity Radiographs.
Academic radiology
Nov 22, 2023
RATIONALE AND OBJECTIVES: To evaluate the standalone performance of a deep learning (DL) based fracture detection tool on extremity radiographs and assess the performance of radiologists and emergency physicians in identifying fractures of the extrem...
Arthroscopic Bone Grafting and Robot-assisted Fixation for Scaphoid Nonunion.
Orthopaedic surgery
Nov 14, 2023
OBJECTIVES: Scaphoid nonunion remains a challenging problem to manage with no general consensus on its treatment recommendations. We propose a novel minimally invasive (MIS) technique of arthroscopic bone grafting (ABG) with robot-assisted fixation f...
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI.
Scientific reports
Nov 3, 2023
This study aimed to develop a deep learning (DL) algorithm for automated detection and localization of posterior ligamentous complex (PLC) injury in patients with acute thoracolumbar (TL) fracture on magnetic resonance imaging (MRI) and evaluate its ...
Artificial intelligence to identify fractures on pediatric and young adult upper extremity radiographs.
Pediatric radiology
Sep 23, 2023
BACKGROUND: Pediatric fractures are challenging to identify given the different response of the pediatric skeleton to injury compared to adults, and most artificial intelligence (AI) fracture detection work has focused on adults.
Deep-Learning-Aided Evaluation of Spondylolysis Imaged with Ultrashort Echo Time Magnetic Resonance Imaging.
Sensors (Basel, Switzerland)
Sep 21, 2023
Isthmic spondylolysis results in fracture of pars interarticularis of the lumbar spine, found in as many as half of adolescent athletes with persistent low back pain. While computed tomography (CT) is the gold standard for the diagnosis of spondyloly...
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