AIMC Topic:
Young Adult
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Spectral Graph Neural Network-Based Multi-Atlas Brain Network Fusion for Major Depressive Disorder Diagnosis.
IEEE journal of biomedical and health informatics
May 6, 2024
Major Depressive Disorder (MDD) imposes a substantial burden within the healthcare domain, impacting millions of individuals worldwide. Functional Magnetic Resonance Imaging (fMRI) has emerged as a promising tool for the objective diagnosis of MDD, e...
Comparing fatal crash risk factors by age and crash type by using machine learning techniques.
PloS one
May 6, 2024
This study aims to use machine learning methods to examine the causative factors of significant crashes, focusing on accident type and driver's age. In this study, a wide-ranging data set from Jeddah city is employed to look into various factors, suc...
Biomechanical Posture Analysis in Healthy Adults with Machine Learning: Applicability and Reliability.
Sensors (Basel, Switzerland)
May 4, 2024
Posture analysis is important in musculoskeletal disorder prevention but relies on subjective assessment. This study investigates the applicability and reliability of a machine learning (ML) pose estimation model for the human posture assessment, whi...
Evaluation of aesthetic outcomes of mandibular reconstruction using artificial intelligence.
Head & neck
May 3, 2024
BACKGROUND: Although vascularized bone graft (VBG) transfer is the current standard for mandibular reconstruction, reconstruction with a mandibular reconstruction plate (MRP) and with a soft-tissue flap (STF) alone remain crucial options for patients...
-A machine learning model to predict surgical site infection after surgery of lower extremity fractures.
International orthopaedics
May 3, 2024
PURPOSE: This study aimed to develop machine learning algorithms for identifying predictive factors associated with the risk of postoperative surgical site infection in patients with lower extremity fractures.
Assessing the effectiveness of spatial PCA on SVM-based decoding of EEG data.
NeuroImage
May 3, 2024
Principal component analysis (PCA) has been widely employed for dimensionality reduction prior to multivariate pattern classification (decoding) in EEG research. The goal of the present study was to provide an evaluation of the effectiveness of PCA o...
Predicting dental caries outcomes in young adults using machine learning approach.
BMC oral health
May 3, 2024
OBJECTIVES: To predict the dental caries outcomes in young adults from a set of longitudinally-obtained predictor variables and identify the most important predictors using machine learning techniques.
Predictive modelling of transport decisions and resources optimisation in pre-hospital setting using machine learning techniques.
PloS one
May 3, 2024
BACKGROUND: The global evolution of pre-hospital care systems faces dynamic challenges, particularly in multinational settings. Machine learning (ML) techniques enable the exploration of deeply embedded data patterns for improved patient care and res...
Artificial intelligence improves resident detection of pediatric and young adult upper extremity fractures.
Skeletal radiology
May 2, 2024
PURPOSE: We wished to evaluate if an open-source artificial intelligence (AI) algorithm ( https://www.childfx.com ) could improve performance of (1) subspecialized musculoskeletal radiologists, (2) radiology residents, and (3) pediatric residents in ...
Subject-specific trunk segmental masses prediction for musculoskeletal models using artificial neural networks.
Medical & biological engineering & computing
May 2, 2024
Accurate determination of body segment parameters is crucial for studying human movement and joint forces using musculoskeletal (MSK) models. However, existing methods for predicting segment mass have limited generalizability and sensitivity to body ...
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