AIMC Topic: Sensitivity and Specificity

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Construction and validation of a machine learning-based nomogram: A tool to predict the risk of getting severe coronavirus disease 2019 (COVID-19).

Immunity, inflammation and disease Mar 13, 2021
BACKGROUND: Identifying patients who may develop severe coronavirus disease 2019 (COVID-19) will facilitate personalized treatment and optimize the distribution of medical resources.
Calibration Logistic Models Nomograms Models, Theoretical Area Under Curve Male Middle Aged Risk Assessment ROC Curve Decision Support Techniques Aged Humans Prospective Studies Adult Sensitivity and Specificity Machine Learning Retrospective Studies Pandemics Female COVID-19 SARS-CoV-2 Risk Factors
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Assessment of an Artificial Intelligence Algorithm for Detection of Intracranial Hemorrhage.

World neurosurgery Mar 5, 2021
BACKGROUND: Immediate and accurate detection of intracranial hemorrhages (ICHs) is essential to provide a good clinical outcome for patients with ICH. Artificial intelligence has the potential to provide this, but the assessment of these methods need...
Predictive Value of Tests Stroke False Positive Reactions Intracranial Hemorrhages Male Middle Aged Cohort Studies Image Processing, Computer-Assisted Glasgow Coma Scale Humans Artificial Intelligence Algorithms Female Aged Sensitivity and Specificity Retrospective Studies Tomography, X-Ray Computed
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MRI-Based Deep-Learning Method for Determining Glioma Promoter Methylation Status.

AJNR. American journal of neuroradiology Mar 4, 2021
BACKGROUND AND PURPOSE: () promoter methylation confers an improved prognosis and treatment response in gliomas. We developed a deep learning network for determining promoter methylation status using T2 weighted Images (T2WI) only.
Aged Adult Sensitivity and Specificity Brain Neoplasms Male Humans Neural Networks, Computer Reproducibility of Results Tumor Suppressor Proteins Promoter Regions, Genetic DNA Methylation Area Under Curve DNA Modification Methylases DNA Repair Enzymes Middle Aged Deep Learning Glioma Magnetic Resonance Imaging
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Deep learning with a convolutional neural network model to differentiate renal parenchymal tumors: a preliminary study.

Abdominal radiology (New York) Mar 3, 2021
PURPOSE: With advancements in medical imaging, more renal tumors are detected early, but it remains a challenge for radiologists to accurately distinguish subtypes of renal parenchymal tumors. We aimed to establish a novel deep convolutional neural n...
Humans Kidney Magnetic Resonance Imaging Diagnosis, Differential Kidney Neoplasms Neural Networks, Computer Carcinoma, Renal Cell Retrospective Studies Sensitivity and Specificity Deep Learning
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Deep learning systems detect dysplasia with human-like accuracy using histopathology and probe-based confocal laser endomicroscopy.

Scientific reports Mar 3, 2021
Probe-based confocal laser endomicroscopy (pCLE) allows for real-time diagnosis of dysplasia and cancer in Barrett's esophagus (BE) but is limited by low sensitivity. Even the gold standard of histopathology is hindered by poor agreement between path...
Biopsy Esophageal Neoplasms Data Accuracy Barrett Esophagus Deep Learning Image Processing, Computer-Assisted Humans Microscopy, Confocal Esophagus Prospective Studies Sensitivity and Specificity Male Middle Aged Female Aged
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Metaheuristic-based Deep COVID-19 Screening Model from Chest X-Ray Images.

Journal of healthcare engineering Mar 1, 2021
COVID-19 has affected the whole world drastically. A huge number of people have lost their lives due to this pandemic. Early detection of COVID-19 infection is helpful for treatment and quarantine. Therefore, many researchers have designed a deep lea...
Sensitivity and Specificity Deep Learning Image Interpretation, Computer-Assisted Radiography, Thoracic Humans Neural Networks, Computer COVID-19 Algorithms
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Application of artificial intelligence in diagnosis of osteoporosis using medical images: a systematic review and meta-analysis.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Feb 27, 2021
Artificial intelligence (AI) is a potentially reliable assistant in the diagnosis of osteoporosis. This meta-analysis aims to assess the diagnostic accuracy of the AI-based systems using medical images. We searched PubMed and Web of Science from ince...
Artificial Intelligence Prospective Studies Osteoporosis Sensitivity and Specificity Humans
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Olfactory Testing in Parkinson Disease and REM Behavior Disorder: A Machine Learning Approach.

Neurology Feb 24, 2021
OBJECTIVE: We sought to identify an abbreviated test of impaired olfaction amenable for use in busy clinical environments in prodromal (isolated REM sleep behavior disorder [iRBD]) and manifest Parkinson disease (PD).
Adult Sensory Thresholds Sensitivity and Specificity Neurologic Examination Male Olfaction Disorders Middle Aged REM Sleep Behavior Disorder Humans Parkinson Disease Machine Learning Female Aged
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Machining learning predicts the need for escalated care and mortality in COVID-19 patients from clinical variables.

International journal of medical sciences Feb 18, 2021
This study aimed to develop a machine learning algorithm to identify key clinical measures to triage patients more effectively to general admission versus intensive care unit (ICU) admission and to predict mortality in COVID-19 pandemic. This retro...
Humans Male Machine Learning Middle Aged Aged COVID-19 Intensive Care Units New York Aged, 80 and over Retrospective Studies Sensitivity and Specificity Female
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Plasma d-glutamate levels for detecting mild cognitive impairment and Alzheimer's disease: Machine learning approaches.

Journal of psychopharmacology (Oxford, England) Feb 15, 2021
BACKGROUND: d-glutamate, which is involved in N-methyl-d-aspartate receptor modulation, may be associated with cognitive ageing.
Female Aged Aged, 80 and over Sensitivity and Specificity Severity of Illness Index Case-Control Studies Psychiatric Status Rating Scales Male Middle Aged Humans Machine Learning Algorithms Biomarkers Glutamic Acid Cognitive Dysfunction Diagnosis, Differential Chromatography, High Pressure Liquid Alzheimer Disease
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