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Working memory load-dependent changes in cortical network connectivity estimated by machine learning.

NeuroImage May 1, 2020
Working memory engages multiple distributed brain networks to support goal-directed behavior and higher order cognition. Dysfunction in working memory has been associated with cognitive impairment in neuropsychiatric disorders. It is important to cha...
Humans Machine Learning Brain Female Young Adult Memory, Short-Term Reaction Time Psychomotor Performance Cerebral Cortex Adult Neural Pathways Male Nerve Net Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Brain Mapping
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Segmenting nailfold capillaries using an improved U-net network.

Microvascular research May 1, 2020
To assess the microcirculation in a patient's capillaries, clinicians often use the valuable and non-invasive diagnostic tool of nailfold capillaroscopy (NC). In particular, evaluating the images that result from NC is particularly important for diag...
Capillaries Humans Neural Networks, Computer Female Male Reproducibility of Results Middle Aged Young Adult Predictive Value of Tests Adult Image Interpretation, Computer-Assisted Nails Microscopic Angioscopy
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Deeply Learned Classifiers for Age and Gender Predictions of Unfiltered Faces.

TheScientificWorldJournal Apr 30, 2020
Age and gender predictions of unfiltered faces classify unconstrained real-world facial images into predefined age and gender. Significant improvements have been made in this research area due to its usefulness in intelligent real-world applications....
Deep Learning Adolescent Child, Preschool Child Image Processing, Computer-Assisted Models, Theoretical Face Facial Recognition Aged Young Adult Adult Humans Male Algorithms Middle Aged Female Infant Infant, Newborn Reproducibility of Results
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Development and validation of machine learning prediction model based on computed tomography angiography-derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study.

European radiology Apr 29, 2020
OBJECTIVES: To build models based on conventional logistic regression (LR) and machine learning (ML) algorithms combining clinical, morphological, and hemodynamic information to predict individual rupture status of unruptured intracranial aneurysms (...
Humans Neural Networks, Computer Machine Learning Computer Simulation Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Aneurysm, Ruptured Intracranial Aneurysm Clinical Decision Rules Adolescent Logistic Models Support Vector Machine Area Under Curve Computed Tomography Angiography Cerebral Angiography Young Adult Adult Male Middle Aged Hemodynamics China
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Identification of the Facial Features of Patients With Cancer: A Deep Learning-Based Pilot Study.

Journal of medical Internet research Apr 29, 2020
BACKGROUND: Cancer has become the second leading cause of death globally. Most cancer cases are due to genetic mutations, which affect metabolism and result in facial changes.
Deep Learning Pilot Projects Adolescent Child, Preschool Child Facial Expression Humans Female Aged Young Adult Adult Male Middle Aged Neoplasms Infant
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Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT.

Radiology Apr 27, 2020
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intellige...
Radiologists Coronavirus Infections Radiography, Thoracic Philadelphia Rhode Island Betacoronavirus China Adolescent Child, Preschool Child Diagnosis, Differential Pneumonia Pneumonia, Viral Female Infant, Newborn SARS-CoV-2 Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Middle Aged Infant Lung Humans Artificial Intelligence Pandemics COVID-19 Retrospective Studies Tomography, X-Ray Computed
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Rape narratives analysis through natural language processing: Survivor self-label, narrative time span, faith, and rape terminology.

Psychological trauma : theory, research, practice and policy Apr 27, 2020
OBJECTIVE: Rape-survivor identity is a sign of recovery and positive therapeutic progress among rape victims. This study is one of the few to focus on factors predicting self-labeling as a survivor among self-acknowledged rape victims by evaluating t...
Middle Aged Adolescent Child Narration Natural Language Processing Self Concept Humans Female Aged Young Adult Adult Data Mining Survivors Crime Victims Rape
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Development and Validation of Machine Learning Algorithms for Predicting Adverse Events After Surgery for Lumbar Degenerative Spondylolisthesis.

World neurosurgery Apr 25, 2020
BACKGROUND: Preoperative prognostication of adverse events (AEs) for patients undergoing surgery for lumbar degenerative spondylolisthesis (LDS) can improve risk stratification and help guide the surgical decision-making process. The aim of this stud...
Male Middle Aged Postoperative Complications Adolescent Logistic Models Age Factors Female Risk Factors Aged Clinical Decision Rules Aged, 80 and over Young Adult Adult Sex Factors Transplantation, Autologous Bone Transplantation Ilium Serum Albumin Spondylolisthesis Humans Decision Making Machine Learning Functional Status Algorithms Neurosurgical Procedures Prognosis Spinal Fusion Lumbar Vertebrae Alkaline Phosphatase
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Machine-learning models for depression and anxiety in individuals with immune-mediated inflammatory disease.

Journal of psychosomatic research Apr 25, 2020
OBJECTIVE: Individuals with immune-mediated inflammatory disease (IMID) have a higher prevalence of psychiatric disorders than the general population. We utilized machine-learning to identify patient-reported outcome measures (PROMs) that accurately ...
Logistic Models Inflammation Patient Reported Outcome Measures Male Middle Aged Prevalence Depressive Disorder, Major Anxiety Disorders Cohort Studies Humans Machine Learning Female Young Adult Adult
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Development of automatic measurement for patellar height based on deep learning and knee radiographs.

European radiology Apr 23, 2020
OBJECTIVES: To develop and evaluate the performance of a deep learning-based system for automatic patellar height measurements using knee radiographs.
Middle Aged Deep Learning Radiography Knee Joint Osteoarthritis, Knee Patella Female Aged Aged, 80 and over Humans Young Adult Algorithms Adult Male
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