AIMC Topic: Sensitivity and Specificity

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Prediction of age and sex from paranasal sinus images using a deep learning network.

Medicine Feb 19, 2021
This study was conducted to develop a convolutional neural network (CNN)-based model to predict the sex and age of patients by identifying unique unknown features from paranasal sinus (PNS) X-ray images.We employed a retrospective study design and us...
Paranasal Sinuses Maxillary Sinus Adult Sensitivity and Specificity Male Middle Aged Deep Learning Data Management Predictive Value of Tests Area Under Curve Radiography Databases, Factual Retrospective Studies Female Aged Humans Neural Networks, Computer Algorithms
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Using deep learning for dermatologist-level detection of suspicious pigmented skin lesions from wide-field images.

Science translational medicine Feb 17, 2021
A reported 96,480 people were diagnosed with melanoma in the United States in 2019, leading to 7230 reported deaths. Early-stage identification of suspicious pigmented lesions (SPLs) in primary care settings can lead to improved melanoma prognosis an...
Skin Neoplasms Sensitivity and Specificity Deep Learning Dermatologists Humans Melanoma
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Machine Learning to Differentiate Risk of Suicide Attempt and Self-harm After General Medical Hospitalization of Women With Mental Illness.

Medical care Feb 1, 2021
BACKGROUND: Suicide prevention is a public health priority, but risk factors for suicide after medical hospitalization remain understudied. This problem is critical for women, for whom suicide rates in the United States are disproportionately increas...
Humans Female Reproducibility of Results Risk Factors Hospitalization Aged Algorithms Mental Disorders Retrospective Studies Electronic Health Records Women Young Adult Suicide, Attempted Adult Cohort Studies Sensitivity and Specificity Supervised Machine Learning Middle Aged Patient Readmission Self-Injurious Behavior
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Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression.

JAMA psychiatry Feb 1, 2021
IMPORTANCE: Diverse models have been developed to predict psychosis in patients with clinical high-risk (CHR) states. Whether prediction can be improved by efficiently combining clinical and biological models and by broadening the risk spectrum to yo...
Europe Workflow Schizophrenia Psychotic Disorders Humans Disease Susceptibility Machine Learning Female Comorbidity Prognosis Young Adult Time Factors Adult Longitudinal Studies Depressive Disorder Sensitivity and Specificity Follow-Up Studies Male
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Can a Novel Deep Neural Network Improve the Computer-Aided Detection of Solid Pulmonary Nodules and the Rate of False-Positive Findings in Comparison to an Established Machine Learning Computer-Aided Detection?

Investigative radiology Feb 1, 2021
OBJECTIVE: The aim of this study was to compare the performance of 2 approved computer-aided detection (CAD) systems for detection of pulmonary solid nodules (PSNs) in an oncologic cohort. The first CAD system is based on a conventional machine learn...
Computers Retrospective Studies Sensitivity and Specificity Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Machine Learning
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Early prediction of mortality risk among patients with severe COVID-19, using machine learning.

International journal of epidemiology Jan 23, 2021
BACKGROUND: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 infection, has been spreading globally. We aimed to develop a clinical model to predict the outcome of patients with severe COVID-19 infection ...
Patient Admission Hospitalization Aged Sensitivity and Specificity Humans Male Machine Learning Middle Aged COVID-19 Risk Assessment Female Hospitals SARS-CoV-2 Case-Control Studies ROC Curve
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The Effectiveness of a Deep Learning Model to Detect Left Ventricular Systolic Dysfunction from Electrocardiograms.

International heart journal Jan 1, 2021
Deep learning models can be applied to electrocardiograms (ECGs) to detect left ventricular (LV) dysfunction. We hypothesized that applying a deep learning model may improve the diagnostic accuracy of cardiologists in predicting LV dysfunction from E...
Deep Learning Adult Humans Decision Support Systems, Clinical Sensitivity and Specificity Systole Electrocardiography Female Male Cardiologists Ventricular Dysfunction, Left Aged Middle Aged Aged, 80 and over
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Olfactory Phenotypes Differentiate Cognitively Unimpaired Seniors from Alzheimer's Disease and Mild Cognitive Impairment: A Combined Machine Learning and Traditional Statistical Approach.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Olfactory dysfunction (OD) is an early symptom of Alzheimer's disease (AD). However, olfactory testing is not commonly performed to test OD in the setting of AD.
Disease Progression Cognitive Dysfunction Alzheimer Disease Neuropsychological Tests Olfaction Disorders Humans Aged Machine Learning Aged, 80 and over Biomarkers Sensitivity and Specificity Middle Aged
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Screening for Early-Stage Alzheimer's Disease Using Optimized Feature Sets and Machine Learning.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Detecting early-stage Alzheimer's disease in clinical practice is difficult due to a lack of efficient and easily administered cognitive assessments that are sensitive to very mild impairment, a likely contributor to the high rate of unde...
Mental Status and Dementia Tests Cognitive Dysfunction Aged, 80 and over Humans Mass Screening Sensitivity and Specificity Machine Learning Alzheimer Disease Male Female Neuropsychological Tests Middle Aged Aged Disease Progression
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Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study.

The Lancet. Digital health Jan 1, 2021
BACKGROUND: In current approaches to vision screening in the community, a simple and efficient process is needed to identify individuals who should be referred to tertiary eye care centres for vision loss related to eye diseases. The emergence of dee...
Aged Sensitivity and Specificity Male Middle Aged Deep Learning ROC Curve Vision Disorders Area Under Curve Singapore Humans Algorithms Female Asian People Eye Diseases Proof of Concept Study Photography
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