AIMC Topic: Humeral Fractures
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Deep learning approach based on a patch residual for pediatric supracondylar subtle fracture detection.
Biomolecules & biomedicine
May 8, 2025
Supracondylar humerus fractures in children are among the most common elbow fractures in pediatrics. However, their diagnosis can be particularly challenging due to the anatomical characteristics and imaging features of the pediatric skeleton. In rec...
Assessing ChatGPT Responses to Frequently Asked Questions Regarding Pediatric Supracondylar Humerus Fractures.
Journal of pediatric orthopedics
Feb 7, 2025
BACKGROUND: The internet and standard search engines are commonly used resources for patients seeking medical information online. With the advancement and increasing usage of artificial intelligence (AI) in health information, online AI chatbots such...
Enhancing diagnosis: ensemble deep-learning model for fracture detection using X-ray images.
Clinical radiology
Aug 21, 2024
AIM: Orthopedic trauma results in the injury of bone joints and tendons of the body. A radiologist reviews and monitors large numbers of radiographs daily, which can lead to the diagnostic error. Therefore, there is a need to automate the detection o...
Automatic diagnosis of pediatric supracondylar humerus fractures using radiomics-based machine learning.
Medicine
Jun 7, 2024
The aim of this study was to construct a classification model for the automatic diagnosis of pediatric supracondylar humerus fractures using radiomics-based machine learning. We retrospectively collected elbow joint Radiographs of children aged 3 to ...
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