AIMC Topic: Female

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Deep learning analysis provides accurate COVID-19 diagnosis on chest computed tomography.

European journal of radiology Nov 4, 2020
INTRODUCTION: Computed Tomography is an essential diagnostic tool in the management of COVID-19. Considering the large amount of examinations in high case-load scenarios, an automated tool could facilitate and save critical time in the diagnosis and ...
ROC Curve Humans Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Male Middle Aged Lung Deep Learning COVID-19 Tomography, X-Ray Computed Female Reproducibility of Results
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Deep learning classification of early normal-tension glaucoma and glaucoma suspects using Bruch's membrane opening-minimum rim width and RNFL.

Scientific reports Nov 4, 2020
We aimed to classify early normal-tension glaucoma (NTG) and glaucoma suspect (GS) using Bruch's membrane opening-minimum rim width (BMO-MRW), peripapillary retinal nerve fiber layer (RNFL), and the color classification of RNFL based on a deep-learni...
Glaucoma, Open-Angle Bruch Membrane Low Tension Glaucoma Area Under Curve Tomography, Optical Coherence Retina Diagnostic Techniques, Ophthalmological Humans Female Adult Intraocular Pressure Male Middle Aged Deep Learning ROC Curve Image Processing, Computer-Assisted
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Consistency of variety of machine learning and statistical models in predicting clinical risks of individual patients: longitudinal cohort study using cardiovascular disease as exemplar.

BMJ (Clinical research ed.) Nov 4, 2020
OBJECTIVE: To assess the consistency of machine learning and statistical techniques in predicting individual level and population level risks of cardiovascular disease and the effects of censoring on risk predictions.
Calibration Medical Record Linkage Decision Making Models, Statistical Predictive Value of Tests Survival Analysis Machine Learning Female Adult Male Cardiovascular Diseases Middle Aged Risk Assessment England Longitudinal Studies Humans
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Host variables confound gut microbiota studies of human disease.

Nature Nov 4, 2020
Low concordance between studies that examine the role of microbiota in human diseases is a pervasive challenge that limits the capacity to identify causal relationships between host-associated microorganisms and pathology. The risk of obtaining false...
Adult Male Middle Aged Diet Case-Control Studies Feces ROC Curve Diabetes Mellitus, Type 2 Body Mass Index Data Analysis Female Aged Aged, 80 and over Young Adult Humans Gastrointestinal Motility Gastrointestinal Microbiome Machine Learning Alcohol Drinking RNA, Ribosomal, 16S Disease Residence Characteristics Life Style Area Under Curve Confounding Factors, Epidemiologic
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Ready for the robot? A cross-sectional survey of OB/GYN fellowship directors' experience and expectations of their incoming fellow's robotic surgical skills.

Journal of robotic surgery Nov 3, 2020
To describe OB/GYN fellowship directors' (FDs) observations, expectations, and preferences of incoming fellow's robotic surgery preparedness. Cross-sectional study. OB/GYN FDs in gynecologic oncology, minimally invasive gynecologic surgery, female pe...
Motivation Internship and Residency Fellowships and Scholarships Surveys and Questionnaires Clinical Competence Robotics Robotic Surgical Procedures Humans Female Cross-Sectional Studies
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Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning.

Korean journal of radiology Nov 3, 2020
OBJECTIVE: We aimed to develop a prediction model for diagnosing severe aortic stenosis (AS) using computed tomography (CT) radiomics features of aortic valve calcium (AVC) and machine learning (ML) algorithms.
Humans Severity of Illness Index Machine Learning Aged Retrospective Studies Tomography, X-Ray Computed Male Female Echocardiography Middle Aged Aortic Valve Stenosis Aortic Valve Calcium
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A Three-Dimensional Deep Convolutional Neural Network for Automatic Segmentation and Diameter Measurement of Type B Aortic Dissection.

Korean journal of radiology Nov 3, 2020
OBJECTIVE: To provide an automatic method for segmentation and diameter measurement of type B aortic dissection (TBAD).
Body Mass Index Aortic Dissection Aorta Computed Tomography Angiography Male Middle Aged Humans Deep Learning Retrospective Studies Imaging, Three-Dimensional Female Adult
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Comparison of postoperative recovery after robot-assisted partial nephrectomy of T1 renal tumors through retroperitoneal or transperitoneal approach: A Japanese single institutional analysis.

International journal of urology : official journal of the Japanese Urological Association Nov 3, 2020
OBJECTIVE: To evaluate the quality of recovery in patients who underwent robot-assisted partial nephrectomy and to compare the outcomes of the transperitoneal or retroperitoneal approach.
Humans Retrospective Studies Female Laparoscopy Robotic Surgical Procedures Japan Kidney Neoplasms Retroperitoneal Space Male Treatment Outcome Operative Time Robotics Nephrectomy
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Predictive diagnosis of chronic obstructive pulmonary disease using serum metabolic biomarkers and least-squares support vector machine.

Journal of clinical laboratory analysis Nov 3, 2020
OBJECTIVE: Development of biofluid-based biomarkers is attractive for the diagnosis of chronic obstructive pulmonary disease (COPD) but still lacking. Thus, here we aimed to identify serum metabolic biomarkers for the diagnosis of COPD.
Case-Control Studies Diagnosis, Computer-Assisted Support Vector Machine Least-Squares Analysis Metabolomics Magnetic Resonance Spectroscopy Female Humans Aged Artificial Intelligence Pulmonary Disease, Chronic Obstructive Biomarkers Male Middle Aged
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Deep Learning for Detecting Cerebral Aneurysms with CT Angiography.

Radiology Nov 3, 2020
Background Cerebral aneurysm detection is a challenging task. Deep learning may become a supportive tool for more accurate interpretation. Purpose To develop a highly sensitive deep learning-based algorithm that assists in the detection of cerebral a...
Humans Retrospective Studies Middle Aged Female Deep Learning Reproducibility of Results Image Interpretation, Computer-Assisted Sensitivity and Specificity Computed Tomography Angiography Male Intracranial Aneurysm
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