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Exploring the influence of nasal vestibule structure on nasal obstruction using CFD and Machine Learning method.
Medical engineering & physics
May 12, 2023
Motivated by clinical findings about the nasal vestibule, this study analyzes the aerodynamic characteristics of the nasal vestibule and attempt to determine anatomical features which have a large influence on airflow through a combination of Computa...
Prevalence of depressive symptoms and associated factors during the COVID-19 pandemic: A national-based study.
Journal of affective disorders
Apr 17, 2023
BACKGROUND: Previous studies have reported that the prevalence of depression and depressive symptoms was significantly higher than that before the COVID-19 pandemic. This study aimed to explore the prevalence of depressive symptoms and evaluate the i...
Understanding the Impact of Aging on Attractiveness Using a Machine Learning Model of Facial Age Progression.
Facial plastic surgery & aesthetic medicine
Apr 12, 2023
Advances in machine learning age progression technology offer the unique opportunity to better understand the public's perception on the aging face. To compare how observers perceive attractiveness and traditional gender traits in faces created wit...
The effect of hepatic steatosis on liver volume determined by proton density fat fraction and deep learning-measured liver volume.
European radiology
Apr 4, 2023
OBJECTIVES: We aimed to evaluate the effect of hepatic steatosis (HS) on liver volume and to develop a formula to estimate lean liver volume correcting the HS effect.
Stratified assessment of an FDA-cleared deep learning algorithm for automated detection and contouring of metastatic brain tumors in stereotactic radiosurgery.
Radiation oncology (London, England)
Apr 4, 2023
PURPOSE: Artificial intelligence-based tools can be leveraged to improve detection and segmentation of brain metastases for stereotactic radiosurgery (SRS). VBrain by Vysioneer Inc. is a deep learning algorithm with recent FDA clearance to assist in ...
Remote assessment of cognition and quality of life following radiotherapy for nasopharyngeal carcinoma: deep-learning-based predictive models and MRI correlates.
Journal of cancer survivorship : research and practice
Apr 3, 2023
PURPOSE: Irradiation of the brain regions from nasopharyngeal carcinoma (NPC) radiotherapy (RT) is frequently unavoidable, which may result in radiation-induced cognitive deficit. Using deep learning (DL), the study aims to develop prediction models ...
Clinically explainable machine learning models for early identification of patients at risk of hospital-acquired urinary tract infection.
The Journal of hospital infection
Mar 31, 2023
BACKGROUND: Machine learning (ML) models for early identification of patients at risk of hospital-acquired urinary tract infection (HA-UTI) may enable timely and targeted preventive and therapeutic strategies. However, clinicians are often challenged...
The use of artificial intelligence to detect students' sentiments and emotions in gross anatomy reflections.
Anatomical sciences education
Mar 28, 2023
Students' reflective writings in gross anatomy provide a rich source of complex emotions experienced by learners. However, qualitative approaches to evaluating student writings are resource heavy and timely. To overcome this, natural language process...
Detecting individuals with severe mental illness using artificial intelligence applied to magnetic resonance imaging.
EBioMedicine
Mar 28, 2023
BACKGROUND: Identifying individuals at risk for severe mental illness (SMI) is crucial for prevention and early intervention strategies. While MRI shows potential for case identification even before illness onset, no practical model for mental health...
Automatic deep learning-based assessment of spinopelvic coronal and sagittal alignment.
Diagnostic and interventional imaging
Mar 21, 2023
PURPOSE: The purpose of this study was to evaluate an artificial intelligence (AI) solution for estimating coronal and sagittal spinopelvic alignment on conventional uniplanar two-dimensional whole-spine radiograph.
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