AIMC Topic: ROC Curve

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Detection of vertical root fractures by cone-beam computed tomography based on deep learning.

Dento maxillo facial radiology Feb 1, 2023
OBJECTIVES: This study aims to evaluate the performance of ResNet models in the detection of and vertical root fractures (VRF) in Cone-beam Computed Tomography (CBCT) images.
Tooth Root Cone-Beam Computed Tomography Tooth Fractures Deep Learning Humans ROC Curve
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Development and validation of a deep learning model to diagnose COVID-19 using time-series heart rate values before the onset of symptoms.

Journal of medical virology Feb 1, 2023
One of the effective ways to minimize the spread of COVID-19 infection is to diagnose it as early as possible before the onset of symptoms. In addition, if the infection can be simply diagnosed using a smartwatch, the effectiveness of preventing the ...
Humans Deep Learning ROC Curve Heart Rate COVID-19 Tomography, X-Ray Computed
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Automatic Multilabel Classification of Multiple Fundus Diseases Based on Convolutional Neural Network With Squeeze-and-Excitation Attention.

Translational vision science & technology Jan 3, 2023
PURPOSE: Automatic multilabel classification of multiple fundus diseases is of importance for ophthalmologists. This study aims to design an effective multilabel classification model that can automatically classify multiple fundus diseases based on c...
Fundus Oculi Neural Networks, Computer ROC Curve
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Deep Learning Model for Static Ocular Torsion Detection Using Synthetically Generated Fundus Images.

Translational vision science & technology Jan 3, 2023
PURPOSE: The objective of the study is to develop deep learning models using synthetic fundus images to assess the direction (intorsion versus extorsion) and amount (physiologic versus pathologic) of static ocular torsion. Static ocular torsion asses...
ROC Curve Fundus Oculi Deep Learning
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[A deep-learning model for the assessment of coronary heart disease and related risk factors via the evaluation of retinal fundus photographs].

Zhonghua xin xue guan bing za zhi Dec 24, 2022
To develop and validate a deep learning model based on fundus photos for the identification of coronary heart disease (CHD) and associated risk factors. Subjects aged>18 years with complete clinical examination data from 149 hospitals and medical e...
Humans Algorithms ROC Curve Fundus Oculi Coronary Disease Male Retrospective Studies Deep Learning Risk Factors
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Graph deep learning detects contextual prognostic biomarkers from whole-slide images.

Nature biomedical engineering Dec 1, 2022
Deep Learning ROC Curve Biomarkers Prognosis
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Machine learning for the prediction of acute kidney injury in critical care patients with acute cerebrovascular disease.

Renal failure Dec 1, 2022
PURPOSE: Acute kidney injury (AKI) is a common complication and associated with a poor clinical outcome. In this study, we developed and validated a model for predicting the risk of AKI through machine learning methods in critical care patients with ...
Middle Aged China Aged Male Cerebrovascular Disorders Critical Care Organ Dysfunction Scores ROC Curve Logistic Models Databases, Factual Retrospective Studies Acute Kidney Injury Female Humans Machine Learning
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Machine Learning-Based Prediction of Elevated PTH Levels Among the US General Population.

The Journal of clinical endocrinology and metabolism Nov 25, 2022
CONTEXT: Although elevated parathyroid hormone (PTH) levels are associated with higher mortality risks, the evidence is limited as to when PTH is expected to be elevated and thus should be measured among the general population.
Humans Machine Learning Cohort Studies Logistic Models Adult ROC Curve Nutrition Surveys
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Prediction of pathological staging and grading of renal clear cell carcinoma based on deep learning algorithms.

The Journal of international medical research Nov 1, 2022
OBJECTIVE: Deep learning algorithms were used to develop a model for predicting the staging and grading of renal clear cell carcinoma to inform clinicians' treatment plans.
Humans Algorithms Kidney Neoplasms Deep Learning Carcinoma, Renal Cell ROC Curve
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A smart, practical, deep learning-based clinical decision support tool for patients in the prostate-specific antigen gray zone: model development and validation.

Journal of the American Medical Informatics Association : JAMIA Oct 7, 2022
OBJECTIVE: Despite efforts to improve screening and early detection of prostate cancer (PC), no available biomarker has shown acceptable performance in patients with prostate-specific antigen (PSA) gray zones. We aimed to develop a deep learning-base...
Prostate ROC Curve Biopsy Male Decision Support Systems, Clinical Prostatic Neoplasms Humans Deep Learning Retrospective Studies Prostate-Specific Antigen
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