AIMC Topic: Hallux Valgus

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Advanced Three-Dimensional Assessment and Planning for Hallux Valgus.

Foot and ankle clinics Dec 30, 2024
The article discusses advanced three-dimensional evaluation of hallux valgus deformity using weightbearing computed tomography. Conventional two-dimensional radiographs fall short in assessing the complexity of hallux valgus deformities, whereas weig...
Imaging, Three-Dimensional Humans Weight-Bearing Tomography, X-Ray Computed Hallux Valgus
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An interpretable deep learning model for hallux valgus prediction.

Computers in biology and medicine Dec 10, 2024
BACKGROUND: This work developed an interpretable deep learning model to automatically annotate landmarks and calculate the hallux valgus angle (HVA) and the intermetatarsal angle (IMA), reducing the time and error of manual calculations by medical ex...
Female Male Deep Learning Humans Radiography Hallux Valgus
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Automatic Hardy and Clapham's classification of hallux sesamoid position on foot radiographs using deep neural network.

Foot and ankle surgery : official journal of the European Society of Foot and Ankle Surgeons Oct 16, 2024
BACKGROUND: There is currently no deep neural network (DNN) capable of automatically classifying tibial sesamoid position (TSP) on foot radiographs.
Sesamoid Bones Hallux Valgus Hallux Middle Aged Radiography Humans Neural Networks, Computer Retrospective Studies Adult Aged Female Male
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Hallux valgus and pes planus: Correlation analysis using deep learning-assisted radiographic angle measurements.

Foot and ankle surgery : official journal of the European Society of Foot and Ankle Surgeons Sep 19, 2024
BACKGROUND: The relationship between hallux valgus (HV) and pes planus remains unresolved. This study aims to determine the correlation between HV and pes planus using a deep learning (DL) model to measure radiographic angle parameters.
Radiography Correlation of Data Flatfoot Severity of Illness Index Deep Learning Hallux Valgus Aged Young Adult Male Middle Aged Adult Retrospective Studies Female Humans
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Automated weight-bearing foot measurements using an artificial intelligence-based software.

Skeletal radiology Jun 17, 2024
OBJECTIVE: To assess the accuracy of an artificial intelligence (AI) software (BoneMetrics, Gleamer) in performing automated measurements on weight-bearing forefoot and lateral foot radiographs.
Foot Weight-Bearing Hallux Valgus Humans Retrospective Studies Male Radiography Female Middle Aged Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Reproducibility of Results Software
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Developing Machine Learning-Based Predictive Models for Hallux Valgus Recurrence Based on Measurements From Radiographs.

Foot & ankle international Jun 13, 2024
BACKGROUND: Machine learning (ML) is increasingly used to predict the prognosis of numerous diseases. This retrospective analysis aimed to develop a prediction model using ML algorithms and to identify predictors associated with the recurrence of hal...
Hallux Valgus Humans Machine Learning Aged Adult Male Retrospective Studies Female Middle Aged Predictive Value of Tests Radiography Osteotomy Recurrence
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Automatic estimation of hallux valgus angle using deep neural network with axis-based annotation.

Skeletal radiology Mar 13, 2024
OBJECTIVES: We developed the deep neural network (DNN) model to automatically measure hallux valgus angle (HVA) and intermetatarsal angle (IMA) on foot radiographs. The objective is to assess the accuracy of the model by comparing to the manual measu...
Hallux Valgus Radiographic Image Interpretation, Computer-Assisted Metatarsal Bones Aged Retrospective Studies Adult Male Middle Aged Humans Female Neural Networks, Computer Radiography
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