AIMC Topic: Young Adult

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Artificial intelligence for automatic cerebral ventricle segmentation and volume calculation: a clinical tool for the evaluation of pediatric hydrocephalus.

Journal of neurosurgery. Pediatrics Dec 1, 2020
OBJECTIVE: Imaging evaluation of the cerebral ventricles is important for clinical decision-making in pediatric hydrocephalus. Although quantitative measurements of ventricular size, over time, can facilitate objective comparison, automated tools for...
Female Infant, Newborn Young Adult Male Infant Image Processing, Computer-Assisted Humans Models, Theoretical Neural Networks, Computer Deep Learning Magnetic Resonance Imaging Artificial Intelligence Adolescent Hydrocephalus Software Cohort Studies Cerebral Ventricles Child, Preschool Child
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Machine learning predicts live-birth occurrence before in-vitro fertilization treatment.

Scientific reports Dec 1, 2020
In-vitro fertilization (IVF) is a popular method of resolving complications such as endometriosis, poor egg quality, a genetic disease of mother or father, problems with ovulation, antibody problems that harm sperm or eggs, the inability of sperm to ...
Live Birth Algorithms Female Humans Middle Aged Young Adult Machine Learning Adolescent Adult ROC Curve Male Fertilization in Vitro Linear Models
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Acute hyperglycaemia in cystic fibrosis pulmonary exacerbations.

Endocrinology, diabetes & metabolism Nov 30, 2020
BACKGROUND: Hyperglycaemia may contribute to failure to recover from pulmonary exacerbations in cystic fibrosis (CF). We aimed to evaluate the prevalence and mechanism of hyperglycaemia during and post-exacerbations.
Acute Disease Cystic Fibrosis Glucose Tolerance Test Insulin Secretion Prevalence Humans Adolescent Female Child Young Adult Hyperglycemia Male Monitoring, Physiologic Disease Progression
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Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from a Transdiagnostic Randomized Controlled Trial.

Psychiatry research Nov 29, 2020
While digital psychiatric interventions reduce treatment barriers, not all persons benefit from this type of treatment. Research is needed to preemptively identify who is likely to benefit from these digital treatments in order to redirect those peop...
Young Adult Adult Male Middle Aged Anxiety Disorders Depressive Disorder, Major Follow-Up Studies Humans Predictive Value of Tests Evidence-Based Medicine Artificial Intelligence Therapy, Computer-Assisted Female
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Artificial Intelligence Image-Assisted Knee Ligament Trauma Repair Efficacy Analysis and Postoperative Femoral Nerve Block Analgesia Effect Research.

World neurosurgery Nov 27, 2020
OBJECTIVE: To analyze artificial intelligence image-assisted knee ligament injury repair and femoral nerve block analgesia after surgery.
Young Adult Adult Male Middle Aged Adolescent Nerve Block Image Processing, Computer-Assisted Magnetic Resonance Imaging Pain, Postoperative Knee Injuries Femoral Nerve Humans Artificial Intelligence Femoral Artery Machine Learning Angiography Female Ligaments Aged Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Reconstruction
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Comparison of 11 automated PET segmentation methods in lymphoma.

Physics in medicine and biology Nov 27, 2020
Segmentation of lymphoma lesions in FDG PET/CT images is critical in both assessing individual lesions and quantifying patient disease burden. Simple thresholding methods remain common despite the large heterogeneity in lymphoma lesion location, size...
Retrospective Studies Female Aged Young Adult Adult Humans Neural Networks, Computer Algorithms Tumor Burden Fluorodeoxyglucose F18 Male Middle Aged Lymphoma Positron Emission Tomography Computed Tomography Radiopharmaceuticals
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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...
Datasets as Topic Age Determination by Skeleton Cohort Studies Child Age Factors Magnetic Resonance Imaging Predictive Value of Tests Radiography Hand Sex Characteristics Sex Factors Middle Aged Image Interpretation, Computer-Assisted Case-Control Studies Deep Learning Humans Adolescent Aged Brain HIV Infections Aged, 80 and over Female Young Adult Adult Male
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Do clinical and paraclinical findings have the power to predict critical conditions of injured patients after traumatic injury resuscitation? Using data mining artificial intelligence.

Chinese journal of traumatology = Zhonghua chuang shang za zhi Nov 24, 2020
PURPOSE: The triage and initial care of injured patients and a subsequent right level of care is paramount for an overall outcome after traumatic injury. Early recognition of patients is an important case of such decision-making with risk of worse pr...
Monitoring, Physiologic Triage Blood Pressure Data Mining Wounds and Injuries Young Adult Adult Male Middle Aged Adolescent Artificial Intelligence Humans Resuscitation Forecasting Trauma Severity Indices Prognosis Critical Illness Female
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Identifying individuals with autism spectrum disorder based on the principal components of whole-brain phase synchrony.

Neuroscience letters Nov 24, 2020
Autism spectrum disorder (ASD) is a brain disorder that develops during an early stage of childhood. Previous neuroimaging-based diagnostic models for ASD were based on static functional connectivity (FC). The nonlinear complexity of brain connectivi...
Young Adult Humans Adult Autism Spectrum Disorder Male Magnetic Resonance Imaging Brain Adolescent Principal Component Analysis Female Support Vector Machine
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A Single-Shot Region-Adaptive Network for Myotendinous Junction Segmentation in Muscular Ultrasound Images.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 24, 2020
Tracking the myotendinous junction (MTJ) in consecutive ultrasound images is crucial for understanding the mechanics and pathological conditions of the muscle-tendon unit. However, the lack of reliable and efficient identification of MTJ due to poor ...
Humans Female Young Adult Image Interpretation, Computer-Assisted Ankle Joint Tendons Adult Male Deep Learning Ultrasonography Muscle, Skeletal
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