AIMC Topic: Male

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Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures: Potential role in personalized forecasting and decision support.

The journal of trauma and acute care surgery Mar 1, 2020
INTRODUCTION: Admission computed tomography (CT) is a widely used diagnostic tool for patients with pelvic fractures. In this pilot study, we hypothesized that pelvic hematoma volumes derived using a rapid automated deep learning-based quantitative v...
Fractures, Bone Hematoma Blood Transfusion Embolization, Therapeutic Adult Humans Pilot Projects Endotamponade Male Algorithms Hospital Mortality Middle Aged Retrospective Studies Decision Support Systems, Clinical Deep Learning Female Pelvic Bones
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Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning.

Brain : a journal of neurology Mar 1, 2020
Neurobiological heterogeneity in schizophrenia is poorly understood and confounds current analyses. We investigated neuroanatomical subtypes in a multi-institutional multi-ethnic cohort, using novel semi-supervised machine learning methods designed t...
Young Adult Adult Male White Matter Case-Control Studies Atrophy Hypertrophy Neuroimaging Gray Matter Magnetic Resonance Imaging Schizophrenia Machine Learning Brain Female Educational Status Humans
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Low-Dose Abdominal CT Using a Deep Learning-Based Denoising Algorithm: A Comparison with CT Reconstructed with Filtered Back Projection or Iterative Reconstruction Algorithm.

Korean journal of radiology Mar 1, 2020
OBJECTIVE: To compare the image quality of low-dose (LD) computed tomography (CT) obtained using a deep learning-based denoising algorithm (DLA) with LD CT images reconstructed with a filtered back projection (FBP) and advanced modeled iterative reco...
Deep Learning ROC Curve Abdomen Body Mass Index Area Under Curve Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Young Adult Adult Male Middle Aged Humans Tomography, X-Ray Computed Female Aged
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Let's "recall" sensitivity and specificity: Letter to the Editor regarding Gowd et al: "Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty".

Journal of shoulder and elbow surgery Mar 1, 2020
Mental Recall Arthroplasty, Replacement, Shoulder Humans Machine Learning Male Postoperative Complications
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Can artificial intelligence optimize case selection for hemi-gland ablation?

BJU international Mar 1, 2020
Male Magnetic Resonance Imaging Prostatic Neoplasms Ultrasonography, Interventional Image-Guided Biopsy Humans Artificial Intelligence
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A combined strategy of feature selection and machine learning to identify predictors of prediabetes.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVE: To identify predictors of prediabetes using feature selection and machine learning on a nationally representative sample of the US population.
Socioeconomic Factors Area Under Curve Prediabetic State Prevalence ROC Curve Nutrition Surveys Models, Theoretical Risk Factors Adult Male Middle Aged Machine Learning Algorithms Female Humans
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Temporal convolutional networks allow early prediction of events in critical care.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVE: Clinical interventions and death in the intensive care unit (ICU) depend on complex patterns in patients' longitudinal data. We aim to anticipate these events earlier and more consistently so that staff can consider preemptive action.
Machine Learning Computer Simulation Prognosis Intensive Care Units Humans Neural Networks, Computer Male Middle Aged Hospital Mortality Logistic Models Critical Care Female Hospitalization Aged Aged, 80 and over
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Texture analysis and machine learning algorithms accurately predict histologic grade in small (< 4 cm) clear cell renal cell carcinomas: a pilot study.

Abdominal radiology (New York) Mar 1, 2020
PURPOSE: To predict the histologic grade of small clear cell renal cell carcinomas (ccRCCs) using texture analysis and machine learning algorithms.
Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell Male Middle Aged Pilot Projects Neoplasm Grading Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female
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Multiple-Image Deep Learning Analysis for Neuropathy Detection in Corneal Nerve Images.

Cornea Mar 1, 2020
PURPOSE: Automated classification of corneal confocal images from healthy subjects and diabetic subjects with neuropathy.
Humans Male Middle Aged Deep Learning Microscopy, Confocal Nerve Fibers Algorithms Female Reproducibility of Results Cornea Diabetic Neuropathies Corneal Diseases Ophthalmic Nerve
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Acceptability and Perceived Utility of Telemedical Consultation during Cardiac Arrest Resuscitation. A Multicenter Survey.

Annals of the American Thoracic Society Mar 1, 2020
Many clinicians who participate in or lead in-hospital cardiac arrest (IHCA) resuscitations lack confidence for this task or worry about errors. Well-led IHCA resuscitation teams deliver better care, but expert resuscitation leaders are often unavai...
Male Humans Referral and Consultation Nursing Staff, Hospital Intensive Care Units Middle Aged Utah Hospital Units Female Attitude of Health Personnel Idaho Cardiopulmonary Resuscitation Adult Medical Staff, Hospital Telemedicine Heart Arrest
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