AIMC Topic: Radiography
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Deep Learning Model for Automatic Identification and Classification of Distal Radius Fracture.
Journal of imaging informatics in medicine
Jun 11, 2024
Distal radius fracture (DRF) is one of the most common types of wrist fractures. We aimed to construct a model for the automatic segmentation of wrist radiographs using a deep learning approach and further perform automatic identification and classif...
No code machine learning: validating the approach on use-case for classifying clavicle fractures.
Clinical imaging
May 31, 2024
PURPOSE: We created an infrastructure for no code machine learning (NML) platform for non-programming physicians to create NML model. We tested the platform by creating an NML model for classifying radiographs for the presence and absence of clavicle...
Deep learning-based automatic measurement system for patellar height: a multicenter retrospective study.
Journal of orthopaedic surgery and research
May 31, 2024
BACKGROUND: The patellar height index is important; however, the measurement procedures are time-consuming and prone to significant variability among and within observers. We developed a deep learning-based automatic measurement system for the patell...
Machine learning model based on radiomics features for AO/OTA classification of pelvic fractures on pelvic radiographs.
PloS one
May 30, 2024
Depending on the degree of fracture, pelvic fracture can be accompanied by vascular damage, and in severe cases, it may progress to hemorrhagic shock. Pelvic radiography can quickly diagnose pelvic fractures, and the Association for Osteosynthesis Fo...
Artificial intelligence model system for bone age assessment of preschool children.
Pediatric research
May 27, 2024
BACKGROUD: Our study aimed to assess the impact of inter- and intra-observer variations when utilizing an artificial intelligence (AI) system for bone age assessment (BAA) of preschool children.
Proximal femur fracture detection on plain radiography via feature pyramid networks.
Scientific reports
May 27, 2024
Hip fractures exceed 250,000 cases annually in the United States, with the worldwide incidence projected to increase by 240-310% by 2050. Hip fractures are predominantly diagnosed by radiologist review of radiographs. In this study, we developed a de...
Machine-learning models for diagnosis of rotator cuff tears in osteoporosis patients based on anteroposterior X-rays of the shoulder joint.
SLAS technology
May 23, 2024
OBJECTIVE: This study aims to diagnose Rotator Cuff Tears (RCT) and classify the severity of RCT in patients with Osteoporosis (OP) through the analysis of shoulder joint anteroposterior (AP) X-ray-based localized proximal humeral bone mineral densit...
A Nordic survey on artificial intelligence in the radiography profession - Is the profession ready for a culture change?
Radiography (London, England : 1995)
May 22, 2024
INTRODUCTION: The impact of artificial intelligence (AI) on the radiography profession remains uncertain. Although AI has been increasingly used in clinical radiography, the perspectives of the radiography professionals in Nordic countries have yet t...
Navigating the ethical landscape of artificial intelligence in radiography: a cross-sectional study of radiographers' perspectives.
BMC medical ethics
May 11, 2024
BACKGROUND: The integration of artificial intelligence (AI) in radiography presents transformative opportunities for diagnostic imaging and introduces complex ethical considerations. The aim of this cross-sectional study was to explore radiographers'...
A multiview deep learning-based prediction pipeline augmented with confident learning can improve performance in determining knee arthroplasty candidates.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
May 7, 2024
PURPOSE: Preoperative prudent patient selection plays a crucial role in knee osteoarthritis management but faces challenges in appropriate referrals such as total knee arthroplasty (TKA), unicompartmental knee arthroplasty (UKA) and nonoperative inte...
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