AIMC Topic: Young Adult

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Traditional and New Methods of Bone Age Assessment-An Overview.

Journal of clinical research in pediatric endocrinology Oct 26, 2020
Bone age is one of biological indicators of maturity used in clinical practice and it is a very important parameter of a child’s assessment, especially in paediatric endocrinology. The most widely used method of bone age assessment is by performing a...
Young Adult Male Infant Diagnosis, Computer-Assisted Deep Learning Adolescent Child, Preschool Child Age Factors Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Female Infant, Newborn Reproducibility of Results Adolescent Development Hand Bones Observer Variation Automation Child Development Wrist Joint Age Determination by Skeleton
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Multi-band MR fingerprinting (MRF) ASL imaging using artificial-neural-network trained with high-fidelity experimental data.

Magnetic resonance in medicine Oct 26, 2020
PURPOSE: We aim to leverage the power of deep-learning with high-fidelity training data to improve the reliability and processing speed of hemodynamic mapping with MR fingerprinting (MRF) arterial spin labeling (ASL).
Kinetics Humans Data Compression Adult Perfusion Moyamoya Disease Male Neural Networks, Computer Healthy Volunteers Arteries Hemodynamics Computer Simulation Gray Matter Magnetic Resonance Imaging Female Cerebrovascular Circulation Brain Mapping Spin Labels Reproducibility of Results Young Adult
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Can artificial intelligence distinguish between malignant and benign mediastinal lymph nodes using sonographic features on EBUS images?

Current medical research and opinion Oct 24, 2020
AIMS: This study aimed to develop a new intelligent diagnostic approach using an artificial neural network (ANN). Moreover, we investigated whether the learning-method-guided quantitative analysis approach adequately described mediastinal lymphadenop...
Humans Artificial Intelligence Female Aged Diagnosis, Computer-Assisted Aged, 80 and over Ultrasonography Young Adult Image Processing, Computer-Assisted Adult Lymph Nodes Male Predictive Value of Tests Middle Aged Mediastinum
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The prognostic role of end-of-treatment FDG-PET/CT in diffuse large B cell lymphoma: a pilot study application of neural networks to predict time-to-event.

Annals of nuclear medicine Oct 22, 2020
PURPOSE: To evaluate the prognostic role of end-of-treatment (EoT) FDG-PET/CT parameters in diffuse large B cell lymphoma (DLBCL), and then to explore a pilot application of Neural Networks (NN) in predicting time-to-relapse.
Pilot Projects Young Adult Prognosis Time Factors Adult Retrospective Studies Lymphoma, Large B-Cell, Diffuse Positron Emission Tomography Computed Tomography Female Humans Male Fluorodeoxyglucose F18 Aged Middle Aged Neural Networks, Computer Recurrence Aged, 80 and over
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Combining wearable sensor signals, machine learning and biomechanics to estimate tibial bone force and damage during running.

Human movement science Oct 22, 2020
There are tremendous opportunities to advance science, clinical care, sports performance, and societal health if we are able to develop tools for monitoring musculoskeletal loading (e.g., forces on bones or muscles) outside the lab. While wearable se...
Running Adult Humans Tibia Biomechanical Phenomena Machine Learning Foot Male Algorithms Shoes Wearable Electronic Devices Female Musculoskeletal Physiological Phenomena Feasibility Studies Young Adult
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Population Graph-Based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder.

Sensors (Basel, Switzerland) Oct 22, 2020
With the advancement of brain imaging techniques and a variety of machine learning methods, significant progress has been made in brain disorder diagnosis, in particular Autism Spectrum Disorder. The development of machine learning models that can di...
Middle Aged Adolescent Child Magnetic Resonance Imaging Neuroimaging Autism Spectrum Disorder Brain Female Young Adult Humans Adult Neural Networks, Computer Male
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A Randomized Study Using Telepresence Robots for Behavioral Health in Interprofessional Practice and Education.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Oct 21, 2020
The events of the coronavirus disease 2019 (COVID-19) pandemic forced the world to adopt telemedicine frameworks to comply with isolation and stay-at-home regulations. Telemedicine, in various forms, has been used by patients and medical professiona...
Robotics Telemedicine COVID-19 Educational Status SARS-CoV-2 Young Adult Adult Humans
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The Use of Artificial Neural Network to Predict Surgical Outcomes After Inguinal Hernia Repair.

The Journal of surgical research Oct 21, 2020
BACKGROUND: Inguinal hernia repair is one of the most commonly performed surgical procedures. We developed and validated an artificial neural network (ANN) model for the prediction of surgical outcomes and the analysis of risk factors for inguinal he...
Female Risk Factors Aged Aged, 80 and over Young Adult Adult Humans Neural Networks, Computer Hospital Mortality Logistic Models Treatment Outcome Elective Surgical Procedures Feasibility Studies Patient Readmission Male Middle Aged Risk Assessment Postoperative Complications Adolescent Quality Improvement Herniorrhaphy Hernia, Inguinal
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Central Reading of Ulcerative Colitis Clinical Trial Videos Using Neural Networks.

Gastroenterology Oct 21, 2020
BACKGROUND AND AIMS: Endoscopic disease activity scoring in ulcerative colitis (UC) is useful in clinical practice but done infrequently. It is required in clinical trials, where it is expensive and slow because human central readers are needed. A ma...
Video Recording Image Interpretation, Computer-Assisted Observer Variation Colon Colonoscopy Severity of Illness Index Deep Learning Aged Adolescent Young Adult Treatment Outcome Adult Antibodies, Monoclonal, Humanized Male Colitis, Ulcerative Middle Aged Intestinal Mucosa Predictive Value of Tests Humans Feasibility Studies Prospective Studies Female
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Predicting brain age with complex networks: From adolescence to adulthood.

NeuroImage Oct 21, 2020
In recent years, several studies have demonstrated that machine learning and deep learning systems can be very useful to accurately predict brain age. In this work, we propose a novel approach based on complex networks using 1016 T1-weighted MRI brai...
Child Development Adolescent Development Female Young Adult Adult Male Aging Middle Aged Humans Deep Learning Neural Networks, Computer Functional Neuroimaging Autism Spectrum Disorder Adolescent Brain Child Magnetic Resonance Imaging
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