AIMC Topic: Sex Characteristics
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Radiographic morphology of canines tested for sexual dimorphism via convolutional-neural-network-based artificial intelligence.
Morphologie : bulletin de l'Association des anatomistes
Mar 8, 2024
The permanent left mandibular canines have been used for sexual dimorphism when human identification is necessary. Controversy remains whether the morphology of these teeth is actually useful to distinguish males and females. This study aimed to asse...
Deep learning models reveal replicable, generalizable, and behaviorally relevant sex differences in human functional brain organization.
Proceedings of the National Academy of Sciences of the United States of America
Feb 20, 2024
Sex plays a crucial role in human brain development, aging, and the manifestation of psychiatric and neurological disorders. However, our understanding of sex differences in human functional brain organization and their behavioral consequences has be...
A new, deep learning-based method for the analysis of autopsy kidney samples used to study sex differences in glomerular density and size in a forensic population.
International journal of legal medicine
Jan 5, 2024
Artificial intelligence (AI) is increasingly used in forensic anthropology and genetics to identify the victim and the cause of death. The large autopsy samples from persons with traumatic causes of death but without comorbidities also offer possibil...
Diagnostic performance of convolutional neural networks for dental sexual dimorphism.
Scientific reports
Oct 14, 2022
Convolutional neural networks (CNN) led to important solutions in the field of Computer Vision. More recently, forensic sciences benefited from the resources of artificial intelligence, especially in procedures that normally require operator-dependen...
Sex differences in rTMS treatment response: A deep learning-based EEG investigation.
Brain and behavior
Jul 25, 2022
INTRODUCTION: The present study aimed to investigate sex differences in response to repetitive transcranial magnetic stimulation (rTMS) in Major Depressive Disorder (MDD) patients. Identifying the factors that mediate treatment response to rTMS in MD...
Sex estimation from the greater sciatic notch: a comparison of classical statistical models and machine learning algorithms.
International journal of legal medicine
Sep 23, 2021
The greater sciatic notch (GSN) is a useful element for sex estimation because it is quite resistant to damage, and thus it can often be assessed even in poorly preserved skeletons. This study aimed to develop statistical models for sex estimation ba...
Deep learning for sex classification in resting-state and task functional brain networks from the UK Biobank.
NeuroImage
Jul 20, 2021
Classification of whole-brain functional connectivity MRI data with convolutional neural networks (CNNs) has shown promise, but the complexity of these models impedes understanding of which aspects of brain activity contribute to classification. Whil...
Sex Differences in the Association Between Inflammation and Event-Free Survival in Patients With Heart Failure.
The Journal of cardiovascular nursing
Jul 8, 2021
BACKGROUND: Heart failure (HF) is associated with chronic inflammation, which is adversely associated with survival. Although sex-related differences in inflammation have been described in patients with HF, whether sex-related differences in inflamma...
Machine learning algorithms to predict seizure due to acute tramadol poisoning.
Human & experimental toxicology
Feb 4, 2021
INTRODUCTION: This study was designed to develop and evaluate machine learning algorithms for predicting seizure due to acute tramadol poisoning, identifying high-risk patients and facilitating appropriate clinical decision-making.
Training confounder-free deep learning models for medical applications.
Nature communications
Nov 26, 2020
The presence of confounding effects (or biases) is one of the most critical challenges in using deep learning to advance discovery in medical imaging studies. Confounders affect the relationship between input data (e.g., brain MRIs) and output variab...
Sex Factors
Image Interpretation, Computer-Assisted
Datasets as Topic
Age Determination by Skeleton
Case-Control Studies
Humans
Predictive Value of Tests
Deep Learning
Brain
Radiography
Young Adult
Adolescent
Female
Hand
Adult
HIV Infections
Aged
Sex Characteristics
Male
Cohort Studies
Aged, 80 and over
Middle Aged
Child
Age Factors
Magnetic Resonance Imaging
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