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Automatic image segmentation and online survival prediction model of medulloblastoma based on machine learning.
European radiology
Nov 23, 2023
OBJECTIVES: To develop a dynamic nomogram containing radiomics signature and clinical features for estimating the overall survival (OS) of patients with medulloblastoma (MB) and design an automatic image segmentation model to reduce labor and time co...
Assessing the Potential of a Deep Learning Tool to Improve Fracture Detection by Radiologists and Emergency Physicians on Extremity Radiographs.
Academic radiology
Nov 22, 2023
RATIONALE AND OBJECTIVES: To evaluate the standalone performance of a deep learning (DL) based fracture detection tool on extremity radiographs and assess the performance of radiologists and emergency physicians in identifying fractures of the extrem...
Does an outdoor virtual environment projected in a head-mounted display affect balance in healthy young adults?
Journal of bodywork and movement therapies
Nov 21, 2023
BACKGROUND: Virtual reality head-mounted display (VR-HMD) is increasingly used for balance evaluation and rehabilitation. However, more studies must be conducted on virtual environments (VE) effects. This study aimed to assess the impact of an outdoo...
Students' Foreign Language Learning Adaptability and Mental Health Supported by Artificial Intelligence.
Journal of autism and developmental disorders
Nov 16, 2023
The rapid development of social reform and the economy has brought great challenges to the mental health of college students. However, there are few studies on the impact of these psychological problems on college students' English learning. As a spe...
Acute effects of robot-assisted body weight unloading on biomechanical movement patterns during overground walking.
Journal of biomechanics
Nov 11, 2023
Body weight unloading (BWU) is used in rehabilitation/training settings to reduce kinetic requirements, however different BWU methods may be unequally capable of preserving biomechanical movement patterns. Biomechanical analysis of both kinetic and k...
Outcome prediction of methadone poisoning in the United States: implications of machine learning in the National Poison Data System (NPDS).
Drug and chemical toxicology
Nov 9, 2023
Methadone is an opioid receptor agonist with a high potential for abuse. The current study aimed to compare different machine learning models to predict the outcomes following methadone poisoning. This six-year retrospective longitudinal study utiliz...
MRI Deep Learning-Based Automatic Segmentation of Interventricular Septum for Black-Blood Myocardial T2* Measurement in Thalassemia.
Journal of magnetic resonance imaging : JMRI
Nov 9, 2023
BACKGROUND: The T2* value of interventricular septum is routinely reported for grading myocardial iron load in thalassemia major, and automatic segmentation of septum could shorten analysis time and reduce interobserver variability.
Deep learning-based age estimation from clinical Computed Tomography image data of the thorax and abdomen in the adult population.
PloS one
Nov 7, 2023
Aging is an important risk factor for disease, leading to morphological change that can be assessed on Computed Tomography (CT) scans. We propose a deep learning model for automated age estimation based on CT- scans of the thorax and abdomen generate...
Determining body height and weight from thoracic and abdominal CT localizers in pediatric and young adult patients using deep learning.
Scientific reports
Nov 3, 2023
In this retrospective study, we aimed to predict the body height and weight of pediatric patients using CT localizers, which are overview scans performed before the acquisition of the CT. We trained three commonly used networks (EfficientNetV2-S, Res...
Development of an MRI-Based Comprehensive Model Fusing Clinical, Radiomics and Deep Learning Models for Preoperative Histological Stratification in Intracranial Solitary Fibrous Tumor.
Journal of magnetic resonance imaging : JMRI
Oct 28, 2023
BACKGROUND: Accurate preoperative histological stratification (HS) of intracranial solitary fibrous tumors (ISFTs) can help predict patient outcomes and develop personalized treatment plans. However, the role of a comprehensive model based on clinica...
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