AIMC Topic: Fractures, Bone

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The Accuracy of Artificial Intelligence Models in Hand/Wrist Fracture and Dislocation Diagnosis: A Systematic Review and Meta-Analysis.

JBJS reviews Sep 5, 2024
BACKGROUND: Early and accurate diagnosis is critical to preserve function and reduce healthcare costs in patients with hand and wrist injury. As such, artificial intelligence (AI) models have been developed for the purpose of diagnosing fractures thr...
Wrist Fractures Humans Artificial Intelligence Fractures, Bone Joint Dislocations Hand Injuries Wrist Injuries
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Automated Association for Osteosynthesis Foundation and Orthopedic Trauma Association classification of pelvic fractures on pelvic radiographs using deep learning.

Scientific reports Sep 4, 2024
High-energy impacts, like vehicle crashes or falls, can lead to pelvic ring injuries. Rapid diagnosis and treatment are crucial due to the risks of severe bleeding and organ damage. Pelvic radiography promptly assesses fracture extent and location, b...
Female Aged Young Adult Adult Humans Algorithms Retrospective Studies Pelvic Bones Fractures, Bone Male Radiography Middle Aged Pelvis Deep Learning Adolescent
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Detecting pediatric appendicular fractures using artificial intelligence.

Revista da Associacao Medica Brasileira (1992) Aug 30, 2024
OBJECTIVE: The primary objective was to assess the diagnostic accuracy of a deep learning-based artificial intelligence model for the detection of acute appendicular fractures in pediatric patients presenting with a recent history of trauma to the em...
Reproducibility of Results Deep Learning Fractures, Bone Adolescent Sensitivity and Specificity Humans Child, Preschool Radiography Male Artificial Intelligence Child Emergency Service, Hospital Infant Female
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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...
Humans Deep Learning Fractures, Bone Radiography Radiographic Image Interpretation, Computer-Assisted Humeral Fractures
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Predicting the Healing of Lower Extremity Fractures Using Wearable Ground Reaction Force Sensors and Machine Learning.

Sensors (Basel, Switzerland) Aug 17, 2024
Lower extremity fractures pose challenges due to prolonged healing times and limited assessment methods. Integrating wearable sensors with machine learning can help overcome these challenges by providing objective assessment and predicting fracture h...
Humans Machine Learning Retrospective Studies Female Gait Fracture Healing Middle Aged Wearable Electronic Devices Fractures, Bone Lower Extremity Aged Adult Male
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Deploying artificial intelligence in the detection of adult appendicular and pelvic fractures in the Singapore emergency department after hours: efficacy, cost savings and non-monetary benefits.

Singapore medical journal Jul 19, 2024
INTRODUCTION: Radiology plays an integral role in fracture detection in the emergency department (ED). After hours, when there are fewer reporting radiologists, most radiographs are interpreted by ED physicians. A minority of these interpretations ma...
Singapore Cost Savings Pelvic Bones Fractures, Bone Radiography Emergency Service, Hospital Retrospective Studies Female Reproducibility of Results Aged Adult Sensitivity and Specificity Male Middle Aged Humans Artificial Intelligence
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Diagnostic performance of an AI algorithm for the detection of appendicular bone fractures in pediatric patients.

European journal of radiology Jul 17, 2024
PURPOSE: To evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm, previously trained using both adult and pediatric patients, for the detection of acute appendicular fractures in the pediatric population on conventional X-...
Fractures, Bone Radiography Adolescent Child, Preschool Child Humans Artificial Intelligence Algorithms Female Retrospective Studies Sensitivity and Specificity Male Infant
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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...
Radiography Clavicle Sensitivity and Specificity Male Middle Aged Fractures, Bone Retrospective Studies Humans Female Machine Learning Adult
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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...
Aged Adult Radiomics Male Machine Learning Algorithms Female Area Under Curve Radiography Humans Middle Aged ROC Curve Pelvic Bones Fractures, Bone
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Deep-learning-based pelvic automatic segmentation in pelvic fractures.

Scientific reports May 28, 2024
With the recent increase in traffic accidents, pelvic fractures are increasing, second only to skull fractures, in terms of mortality and risk of complications. Research is actively being conducted on the treatment of intra-abdominal bleeding, the pr...
Humans Algorithms Female Aged Young Adult Adult Image Processing, Computer-Assisted Pelvic Bones Fractures, Bone Pelvis Male Middle Aged Deep Learning Adolescent
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