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Deep learning for pulmonary embolism detection on computed tomography pulmonary angiogram: a systematic review and meta-analysis.

Scientific reports Aug 4, 2021
Computed tomographic pulmonary angiography (CTPA) is the gold standard for pulmonary embolism (PE) diagnosis. However, this diagnosis is susceptible to misdiagnosis. In this study, we aimed to perform a systematic review of current literature applyin...
Humans Deep Learning ROC Curve Image Processing, Computer-Assisted Pulmonary Embolism Computed Tomography Angiography
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Lung nodule detection in chest X-rays using synthetic ground-truth data comparing CNN-based diagnosis to human performance.

Scientific reports Aug 4, 2021
We present a method to generate synthetic thorax radiographs with realistic nodules from CT scans, and a perfect ground truth knowledge. We evaluated the detection performance of nine radiologists and two convolutional neural networks in a reader stu...
Radiologists Radiographic Image Interpretation, Computer-Assisted Observer Variation Radiography, Thoracic ROC Curve Multiple Pulmonary Nodules Solitary Pulmonary Nodule Humans Neural Networks, Computer
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Accuracy of automated machine learning in classifying retinal pathologies from ultra-widefield pseudocolour fundus images.

The British journal of ophthalmology Aug 3, 2021
AIMS: Automated machine learning (AutoML) is a novel tool in artificial intelligence (AI). This study assessed the discriminative performance of AutoML in differentiating retinal vein occlusion (RVO), retinitis pigmentosa (RP) and retinal detachment ...
ROC Curve Fundus Oculi Retina Retinal Vein Occlusion Humans Artificial Intelligence Machine Learning
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Development and validation of a new diabetes index for the risk classification of present and new-onset diabetes: multicohort study.

Scientific reports Aug 3, 2021
In this study, we aimed to propose a novel diabetes index for the risk classification based on machine learning techniques with a high accuracy for diabetes mellitus. Upon analyzing their demographic and biochemical data, we classified the 2013-16 Ko...
Female Aged Male Middle Aged Humans Machine Learning Prospective Studies Republic of Korea Predictive Value of Tests Age of Onset Incidence ROC Curve Diabetes Mellitus
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Machine learning-based prediction of acute kidney injury after nephrectomy in patients with renal cell carcinoma.

Scientific reports Aug 3, 2021
The precise prediction of acute kidney injury (AKI) after nephrectomy for renal cell carcinoma (RCC) is an important issue because of its relationship with subsequent kidney dysfunction and high mortality. Herein we addressed whether machine learning...
Support Vector Machine Kidney Neoplasms Carcinoma, Renal Cell Nephrectomy Risk Assessment Postoperative Complications ROC Curve Logistic Models Decision Making, Computer-Assisted Algorithms Prognosis Acute Kidney Injury Female Aged Adult Male Middle Aged Humans Machine Learning
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A credit risk assessment model of borrowers in P2P lending based on BP neural network.

PloS one Aug 3, 2021
Peer-to-Peer (P2P) lending provides convenient and efficient financing channels for small and medium-sized enterprises and individuals, and therefore it has developed rapidly since entering the market. However, due to the imperfection of the credit s...
Bayes Theorem Peer Group Reproducibility of Results Risk Assessment ROC Curve Models, Theoretical Humans Neural Networks, Computer Algorithms
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Differentiation of Active Corneal Infections from Healed Scars Using Deep Learning.

Ophthalmology Aug 2, 2021
PURPOSE: To develop and evaluate an automated, portable algorithm to differentiate active corneal ulcers from healed scars using only external photographs.
Photography Slit Lamp Microscopy Corneal Ulcer Eye Infections, Fungal Cicatrix False Positive Reactions Eye Infections, Bacterial Algorithms Retrospective Studies Sensitivity and Specificity Deep Learning ROC Curve Wound Healing Predictive Value of Tests Area Under Curve Humans
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A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images.

JAMA network open Aug 2, 2021
IMPORTANCE: Breast cancer screening is among the most common radiological tasks, with more than 39 million examinations performed each year. While it has been among the most studied medical imaging applications of artificial intelligence, the develop...
Humans Female Reproducibility of Results Aged Breast Neoplasms Middle Aged Deep Learning Breast Datasets as Topic False Positive Reactions ROC Curve Early Detection of Cancer Mammography
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Machine learning prediction of dropping out of outpatients with alcohol use disorders.

PloS one Aug 2, 2021
BACKGROUND: Alcohol use disorder (AUD) is a chronic disease with a higher recurrence rate than that of other mental illnesses. Moreover, it requires continuous outpatient treatment for the patient to maintain abstinence. However, with a low probabili...
Male Middle Aged Risk Assessment ROC Curve Female Young Adult Adult Alcoholism Outpatients Humans Neural Networks, Computer Machine Learning Algorithms Retrospective Studies Republic of Korea
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Short- and long-term mortality prediction after an acute ST-elevation myocardial infarction (STEMI) in Asians: A machine learning approach.

PloS one Aug 2, 2021
BACKGROUND: Conventional risk score for predicting short and long-term mortality following an ST-segment elevation myocardial infarction (STEMI) is often not population specific.
Asian People ROC Curve Area Under Curve ST Elevation Myocardial Infarction Thrombosis Middle Aged Time Factors Hospital Mortality Female Reproducibility of Results Risk Factors Male Humans Machine Learning
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