AIMC Topic: Fractures, Bone

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Deep Learning Assistance Closes the Accuracy Gap in Fracture Detection Across Clinician Types.

Clinical orthopaedics and related research
BACKGROUND: Missed fractures are the most common diagnostic errors in musculoskeletal imaging and can result in treatment delays and preventable morbidity. Deep learning, a subfield of artificial intelligence, can be used to accurately detect fractur...

Robot-assisted vs traditional percutaneous freehand for the scaphoid fracture treatment: a retrospective study.

International orthopaedics
PURPOSE: The purpose of this study was to assess the efficiency, safety, and accuracy of cannulated screw fixation using a robot-assisted method compared with a traditional percutaneous freehand method.

Hybrid SFNet Model for Bone Fracture Detection and Classification Using ML/DL.

Sensors (Basel, Switzerland)
An expert performs bone fracture diagnosis using an X-ray image manually, which is a time-consuming process. The development of machine learning (ML), as well as deep learning (DL), has set a new path in medical image diagnosis. In this study, we pro...

Multimodal Neuroelectrophysiological Monitoring Combined with Robot-Assisted Placement of a Transiliac-Transsacral Screw for the Treatment of Transforaminal Sacral Fractures.

BioMed research international
OBJECTIVE: This study aimed to evaluate the safety and efficacy of the fixation of transforaminal sacral fractures using TiRobot-assisted transiliac-transsacral (TITS) screws under multimodal neuroelectrophysiological monitoring (MNM).

Added value of an artificial intelligence solution for fracture detection in the radiologist's daily trauma emergencies workflow.

Diagnostic and interventional imaging
PURPOSE: The main objective of this study was to compare radiologists' performance without and with artificial intelligence (AI) assistance for the detection of bone fractures from trauma emergencies.

Deep learning of birth-related infant clavicle fractures: a potential virtual consultant for fracture dating.

Pediatric radiology
BACKGROUND: In infant abuse investigations, dating of skeletal injuries from radiographs is desirable to reach a clear timeline of traumatic events. Prior studies have used infant birth-related clavicle fractures as a surrogate to develop a framework...

Automated detection of acute appendicular skeletal fractures in pediatric patients using deep learning.

Skeletal radiology
OBJECTIVE: We aimed to perform an external validation of an existing commercial AI software program (BoneView™) for the detection of acute appendicular fractures in pediatric patients.

Design and evaluation of an intelligent reduction robot system for the minimally invasive reduction in pelvic fractures.

Journal of orthopaedic surgery and research
INTRODUCTION: Pelvic fracture is a severe high-energy injury with the highest disability and mortality of all fractures. Traditional open surgery is associated with extensive soft tissue damages and many complications. Minimally invasive surgery pote...