AIMC Topic: Radiography

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Diagnostic Prediction for Social Anxiety Disorder via Multivariate Pattern Analysis of the Regional Homogeneity.

BioMed research international
Although decades of efforts have been spent studying the pathogenesis of social anxiety disorder (SAD), there are still no objective biological markers that could be reliably used to identify individuals with SAD. Studies using multivariate pattern a...

Diagnostic Performance of Artificial Neural Network for Detecting Ischemia in Myocardial Perfusion Imaging.

Circulation journal : official journal of the Japanese Circulation Society
BACKGROUND: The purpose of this study was to apply an artificial neural network (ANN) in patients with coronary artery disease (CAD) and to characterize its diagnostic ability compared with conventional visual and quantitative methods in myocardial p...

Integrating ontologies of rare diseases and radiological diagnosis.

Journal of the American Medical Informatics Association : JAMIA
PURPOSE: The author sought to integrate an ontology of rare diseases with a large ontological model of radiological diagnosis.

Human experts' and a fuzzy model's predictions of outcomes of scoliosis treatment: a comparative analysis.

IEEE transactions on bio-medical engineering
Brace treatment is the most commonly used nonsurgical treatment for adolescents with idiopathic scoliosis. However, brace treatment is not always successful and the factors influencing its success are not completely clear. This makes treatment outcom...

Validation of a novel artificial intelligence model (SpinePose) to automatically and accurately predict spinopelvic parameters using scoliosis radiographs in an external cohort.

Neurosurgical focus
OBJECTIVE: SpinePose was developed in 2024 as a novel artificial intelligence (AI) tool to automatically predict spinopelvic parameters with high accuracy and without the need for manual entry. The authors' published results demonstrated excellent pe...

Can Gpt-4o Accurately Diagnose Trauma X-Rays? A Comparative Study with Expert Evaluations.

The Journal of emergency medicine
BACKGROUND: The latest artificial intelligence (AI) model, GPT-4o, introduced by OpenAI, can process visual data, presenting a novel opportunity for radiographic evaluation in trauma patients.

Automated determination of hip arthrosis on the Kellgren-Lawrence scale in pelvic digital radiographs scans using machine learning.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Automated analysis of digital radiographs of the pelvis to determine the hip arthrosis state in concordance with the Kellgren-Lawrence scale could facilitate and standardize radiogram descriptions.

Diagnosis of trigeminal neuralgia based on plain skull radiography using convolutional neural network.

Scientific reports
This study aimed to determine whether trigeminal neuralgia can be diagnosed using convolutional neural networks (CNNs) based on plain X-ray skull images. A labeled dataset of 166 skull images from patients aged over 16 years with trigeminal neuralgia...

Automatic assessment of lower limb deformities using high-resolution X-ray images.

BMC musculoskeletal disorders
BACKGROUND: Planning an osteotomy or arthroplasty surgery on a lower limb requires prior classification/identification of its deformities. The detection of skeletal landmarks and the calculation of angles required to identify the deformities are trad...