AIMC Topic: Young Adult
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Exploring the significance of the frontal lobe for diagnosis of schizophrenia using explainable artificial intelligence and group level analysis.
Psychiatry research. Neuroimaging
Mar 13, 2025
Schizophrenia (SZ) is a complex mental disorder characterized by a profound disruption in cognition and emotion, often resulting in a distorted perception of reality. Magnetic resonance imaging (MRI) is an essential tool for diagnosing SZ which helps...
Patellar tilt calculation utilizing artificial intelligence on CT knee imaging.
The Knee
Mar 13, 2025
BACKGROUND: In the diagnosis of patellar instability, three-dimensional (3D) imaging enables measurement of a wide range of metrics. However, measuring these metrics can be time-consuming and prone to error due to conducting 2D measurements on 3D obj...
Machine Learning-Based localization of the epileptogenic zone using High-Frequency oscillations from SEEG: A Real-World approach.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Mar 13, 2025
INTRODUCTION: Localizing the epileptogenic zone (EZ) using Stereo EEG (SEEG) is often challenging through manual analysis. Even methods based on signal analysis have limitations in identifying the EZ, particularly in patients with neocortical epileps...
Machine learning prediction of right ventricular volume and ejection fraction from two-dimensional echocardiography in patients with pulmonary regurgitation.
The international journal of cardiovascular imaging
Mar 13, 2025
Right ventricular (RV) end-diastolic volume (RVEDV) and ejection fraction (RVEF) by cardiac MRI (cMRI) guide management in chronic pulmonary regurgitation (PR). Two-dimensional echocardiography suboptimally correlate with RV volumes. This study teste...
Young Adult
Adult
Male
Stroke Volume
Prognosis
Retrospective Studies
Female
Reproducibility of Results
Humans
Predictive Value of Tests
Echocardiography
Ventricular Dysfunction, Right
Machine Learning
Image Interpretation, Computer-Assisted
Severity of Illness Index
Ventricular Function, Right
Adolescent
Pulmonary Valve Insufficiency
Chronic Disease
Posttraumatic Arthritis After Anterior Cruciate Ligament Injury: Machine Learning Comparison Between Surgery and Nonoperative Management.
The American journal of sports medicine
Mar 13, 2025
BACKGROUND: Nonoperative and operative management techniques after anterior cruciate ligament (ACL) injury are both appropriate treatment options for selected patients. However, the subsequent development of posttraumatic knee osteoarthritis (PTOA) r...
Dual-pathway EEG model with channel attention for virtual reality motion sickness detection.
Journal of neuroscience methods
Mar 12, 2025
BACKGROUND: Motion sickness has been a key factor affecting user experience in Virtual Reality (VR) and limiting the development of the VR industry. Accurate detection of Virtual Reality Motion Sickness (VRMS) is a prerequisite for solving the proble...
Enhanced personalized prediction of baseball-related upper extremity injuries through novel features and explainable artificial intelligence.
Journal of sports sciences
Mar 12, 2025
Upper extremity injuries in baseball players demand advanced prevention. Our study analyzed clinical features using machine learning techniques to provide precise and individualized injury risk assessment and prediction. We recruited 98 baseball play...
Predicting total healthcare demand using machine learning: separate and combined analysis of predisposing, enabling, and need factors.
BMC health services research
Mar 12, 2025
OBJECTIVE: Predicting healthcare demand is essential for effective resource allocation and planning. This study applies Andersen's Behavioral Model of Health Services Use, focusing on predisposing, enabling, and need factors, using data from the 2022...
Investigating the increase in the specialized performance of athletes using artificial neural network (ANN) exercises.
Scientific reports
Mar 12, 2025
Badminton, a dynamic and fast-paced racket sport, demands a unique combination of physical, technical, and cognitive abilities from its players. This study investigates the impact of a tailored core strength training program on the specialized perfor...
Development of a machine learning-based predictive model for maxillary sinus cysts and exploration of clustering patterns.
Head & face medicine
Mar 12, 2025
BACKGROUND AND OBJECTIVE: There are still many controversies about the factors influencing maxillary sinus cysts and their clinical management. This study aims to construct a prediction model of maxillary sinus cyst and explore its clustering pattern...
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