AIMC Topic: Young Adult

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Machine learning prediction of combat basic training injury from 3D body shape images.

PloS one Jun 30, 2020
INTRODUCTION: Athletes and military personnel are both at risk of disabling injuries due to extreme physical activity. A method to predict which individuals might be more susceptible to injury would be valuable, especially in the military where basic...
Imaging, Three-Dimensional United States Models, Statistical Physical Fitness Military Personnel Young Adult Anthropometry Male Physical Endurance Risk Assessment Occupational Injuries Humans Machine Learning Female Risk Factors Adolescent ROC Curve
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Efficiency of a computer-aided diagnosis (CAD) system with deep learning in detection of pulmonary nodules on 1-mm-thick images of computed tomography.

Japanese journal of radiology Jun 26, 2020
PURPOSE: To evaluate the performance of a deep learning-based computer-aided diagnosis (CAD) system at detecting pulmonary nodules on CT by comparing radiologists' readings with and without CAD.
Sensitivity and Specificity Male Middle Aged Lung Diagnosis, Computer-Assisted Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Humans Retrospective Studies Tomography, X-Ray Computed Female
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A machine learning-based prognostic predictor for stage III colon cancer.

Scientific reports Jun 25, 2020
Limited biomarkers have been identified as prognostic predictors for stage III colon cancer. To combat this shortfall, we developed a computer-aided approach which combing convolutional neural network with machine classifier to predict the prognosis ...
Kaplan-Meier Estimate Middle Aged Risk Assessment Colon Follow-Up Studies Neoplasm Staging Neoplasm Recurrence, Local Colonic Neoplasms Disease-Free Survival Image Interpretation, Computer-Assisted Humans Colectomy Aged Machine Learning Aged, 80 and over Prognosis Young Adult Female Adult Risk Factors Male
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Utilization of machine learning to test the impact of cognitive processing and emotion recognition on the development of PTSD following trauma exposure.

BMC psychiatry Jun 23, 2020
BACKGROUND: Though lifetime exposure to traumatic events is significant, only a minority of individuals develops symptoms of posttraumatic stress disorder (PTSD). Post-trauma alterations in neurocognitive and affective functioning are likely to refle...
Stress Disorders, Post-Traumatic Cognition Emotions Executive Function Aged Young Adult Adult Male Middle Aged Humans Machine Learning Female
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On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals.

PloS one Jun 23, 2020
We present performance results concerning the validation for anxiety level detection based on trained mathematical models using supervised machine learning techniques. The model training is based on biosignals acquired in a randomized controlled tria...
Electrocardiography Randomized Controlled Trials as Topic Area Under Curve Telemedicine Phobic Disorders Young Adult Adult Animals Adolescent ROC Curve Spiders Humans Machine Learning
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Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations.

British journal of cancer Jun 22, 2020
BACKGROUND: The clinical utility of machine-learning (ML) algorithms for breast cancer risk prediction and screening practices is unknown. We compared classification of lifetime breast cancer risk based on ML and the BOADICEA model. We explored the d...
Adult Breast Neoplasms Middle Aged Early Detection of Cancer Risk Humans Machine Learning Retrospective Studies Female Aged Young Adult
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Characterizing forearm muscle activity in young adults during dynamic wrist flexion-extension movement using a wrist robot.

Journal of biomechanics Jun 21, 2020
Current research suggests that the wrist extensor muscles function as the primary stabilizers of the wrist-joint complex. However, most investigations have utilized isometric study designs, with little consideration for wrist dynamics or changes in p...
Wrist Joint Robotics Wrist Humans Electromyography Young Adult Range of Motion, Articular Male Forearm Muscle, Skeletal
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Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images.

Medical science monitor : international medical journal of experimental and clinical research Jun 18, 2020
BACKGROUND Thyroid nodules are extremely common and typically diagnosed with ultrasound whether benign or malignant. Imaging diagnosis assisted by Artificial Intelligence has attracted much attention in recent years. The aim of our study was to build...
Goiter, Nodular Granuloma Carcinoma, Neuroendocrine Image Interpretation, Computer-Assisted Adenocarcinoma, Follicular Adult Thyroid Cancer, Papillary Male Middle Aged Deep Learning Humans Adolescent Female Thyroid Neoplasms Aged Ultrasonography Aged, 80 and over Thyroid Nodule Young Adult Thyroid Carcinoma, Anaplastic Adenoma
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Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study.

Gastroenterology Jun 17, 2020
BACKGROUND AND AIMS: Up to 30% of adenomas might be missed during screening colonoscopy-these could be polyps that appear on-screen but are not recognized by endoscopists or polyps that are in locations that do not appear on the screen at all. Comput...
Humans Prospective Studies Female Reproducibility of Results Aged Diagnosis, Computer-Assisted Deep Learning China Adolescent Predictive Value of Tests Young Adult Adult Male Middle Aged Colonoscopy Colonic Neoplasms Colonic Polyps Image Interpretation, Computer-Assisted Adenomatous Polyps Missed Diagnosis
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Complementing subjective with objective data in analysing expertise: A machine-learning approach applied to badminton.

Journal of sports sciences Jun 17, 2020
This study aimed to assess which combination of subjective and empirical data might help to identify the expertise level. A group of 10 expert coaches classified 40 participants in 5 different expertise groups based on the video footage of the rallie...
Humans Machine Learning Algorithms Female Athletic Performance Accelerometry Motor Skills Time and Motion Studies Racquet Sports Young Adult Adult Male Adolescent Principal Component Analysis
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