AIMC Topic: Cross-Sectional Studies

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The accuracy and predictability of micro Doppler radar signature projection algorithm measuring functional movement in NCAA athletes.

Gait & posture Jan 26, 2021
BACKGROUND: Development of accessible cost-effective technology to objectively, reliably, and accurately predict musculoskeletal injury risk could aid the effort to prevent chronic pain and disability. Recent work on micro-Doppler radar suggests it m...
Adolescent Young Adult Ultrasonography, Doppler Adult Movement Cross-Sectional Studies Radar Biomechanical Phenomena Humans Risk Assessment Machine Learning Athletic Injuries Algorithms Reproducibility of Results
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Modeling anxiety and fear of COVID-19 using machine learning in a sample of Chinese adults: associations with psychopathology, sociodemographic, and exposure variables.

Anxiety, stress, and coping Jan 26, 2021
OBJECTIVES: Research during prior virus outbreaks has examined vulnerability factors associated with increased anxiety and fear.
COVID-19 Models, Statistical Humans Male Female Fear Anxiety Disorders SARS-CoV-2 Machine Learning Mass Media China Adult Surveys and Questionnaires Cross-Sectional Studies Socioeconomic Factors
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Can an inertial measurement unit (IMU) in combination with machine learning measure fast bowling speed and perceived intensity in cricket?

Journal of sports sciences Jan 22, 2021
This study examined whether an inertial measurement unit (IMU), in combination with machine learning, could accurately predict two indirect measures of bowling intensity through ball release speed (BRS) and perceived intensity zone (PIZ). One IMU was...
Wearable Electronic Devices Machine Learning Physical Exertion Physical Phenomena Humans Athletic Performance Young Adult Athletic Injuries Accelerometry Cross-Sectional Studies Cricket Sport Perception Biomechanical Phenomena Sports Equipment Male
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Machine Learning Approach for Intraocular Disease Prediction Based on Aqueous Humor Immune Mediator Profiles.

Ophthalmology Jan 21, 2021
PURPOSE: Various immune mediators have crucial roles in the pathogenesis of intraocular diseases. Machine learning can be used to automatically select and weigh various predictors to develop models maximizing predictive power. However, these techniqu...
ROC Curve Interleukins Area Under Curve Immunoassay Humans Flow Cytometry Machine Learning Inflammation Mediators Adult Eye Diseases Cross-Sectional Studies Aqueous Humor Endophthalmitis Male Female Intraocular Lymphoma Glaucoma, Open-Angle Middle Aged Reproducibility of Results Retinal Necrosis Syndrome, Acute Diagnosis, Computer-Assisted Retinal Detachment Aged Aged, 80 and over
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Vascular Aging Detected by Peripheral Endothelial Dysfunction Is Associated With ECG-Derived Physiological Aging.

Journal of the American Heart Association Jan 17, 2021
Background An artificial intelligence algorithm that detects age using the 12-lead ECG has been suggested to signal "physiologic age." This study aimed to investigate the association of peripheral microvascular endothelial function (PMEF) as an index...
Peripheral Arterial Disease Vasodilation Endothelium, Vascular Arteries Microvessels Aging Middle Aged Electrocardiography Follow-Up Studies Humans Artificial Intelligence Retrospective Studies Female Risk Factors Cross-Sectional Studies Male
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Association between different scale bars in dermoscopic images and diagnostic performance of a market-approved deep learning convolutional neural network for melanoma recognition.

European journal of cancer (Oxford, England : 1990) Jan 16, 2021
BACKGROUND: Studies systematically unravelling possible causes for false diagnoses of deep learning convolutional neural networks (CNNs) are scarce, yet needed before broader application.
Image Interpretation, Computer-Assisted Artifacts Nevus Reproducibility of Results Retrospective Studies Cross-Sectional Studies Humans Diagnosis, Computer-Assisted Melanoma Deep Learning Skin Neoplasms Predictive Value of Tests Dermoscopy
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Schizotypy in Parkinson's disease predicts dopamine-associated psychosis.

Scientific reports Jan 12, 2021
Psychosis is the most common neuropsychiatric side-effect of dopaminergic therapy in Parkinson's disease (PD). It is still unknown which factors determine individual proneness to psychotic symptoms. Schizotypy is a multifaceted personality trait rela...
Middle Aged Case-Control Studies Surveys and Questionnaires ROC Curve Emotions Humans Machine Learning Female Cross-Sectional Studies Male Schizotypal Personality Disorder Parkinson Disease Psychotic Disorders Dopamine Hallucinations
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Automated Lateral Ventricular and Cranial Vault Volume Measurements in 13,851 Patients Using Deep Learning Algorithms.

World neurosurgery Jan 6, 2021
BACKGROUND: No large dataset-derived standard has been established for normal or pathologic human cerebral ventricular and cranial vault volumes. Automated volumetric measurements could be used to assist in diagnosis and follow-up of hydrocephalus or...
Cephalometry Hydrocephalus Models, Biological Datasets as Topic Neuroimaging Tomography, X-Ray Computed Adolescent Female Child, Preschool Aged Child Aged, 80 and over Skull Natural Language Processing Adult Young Adult Atrophy Humans Cross-Sectional Studies Algorithms Lateral Ventricles Male Brain Middle Aged Retrospective Studies Deep Learning
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Deep Learning for Anterior Segment Optical Coherence Tomography to Predict the Presence of Plateau Iris.

Translational vision science & technology Jan 6, 2021
PURPOSE: The purpose of this study was to evaluate the diagnostic performance of deep learning (DL) anterior segment optical coherence tomography (AS-OCT) as a plateau iris prediction model.
Iris Gonioscopy Humans Cross-Sectional Studies Deep Learning Tomography, Optical Coherence
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An artificial intelligence-derived tool proposal to ease disordered eating screening in people with obesity.

Eating and weight disorders : EWD Jan 2, 2021
PURPOSE: In people with obesity, food addiction (FA) tends to be associated with poorer outcomes. Its diagnosis can be challenging in primary care. Based on the SCOFF example, we aim to determine whether a quicker and simpler screening tool for FA in...
Cross-Sectional Studies Surveys and Questionnaires Obesity Bayes Theorem Feeding and Eating Disorders Humans Artificial Intelligence
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