AIMC Topic: ROC Curve

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Comparison of machine and deep learning for the classification of cervical cancer based on cervicography images.

Scientific reports Aug 9, 2021
Cervical cancer is the second most common cancer in women worldwide with a mortality rate of 60%. Cervical cancer begins with no overt signs and has a long latent period, making early detection through regular checkups vitally immportant. In this stu...
Diagnosis, Computer-Assisted Deep Learning ROC Curve Photography Female Diagnostic Errors Uterine Cervical Neoplasms Machine Learning Algorithms Humans Neural Networks, Computer
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Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images.

BMC cancer Aug 6, 2021
BACKGROUND: This study aimed to assess the utility of deep learning analysis using pretreatment FDG-PET images to predict local treatment outcome in oropharyngeal squamous cell carcinoma (OPSCC) patients.
Squamous Cell Carcinoma of Head and Neck Positron Emission Tomography Computed Tomography Neoplasm Staging Positron-Emission Tomography Disease Management Workflow Combined Modality Therapy Deep Learning ROC Curve Image Processing, Computer-Assisted Treatment Outcome Biomarkers, Tumor Male Middle Aged Fluorodeoxyglucose F18 Kaplan-Meier Estimate Oropharyngeal Neoplasms Female Aged Aged, 80 and over Adult Humans Prognosis Clinical Decision-Making
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Artificial intelligence in orthopedic implant model classification: a systematic review.

Skeletal radiology Aug 5, 2021
Although artificial intelligence models have demonstrated high accuracy in identifying specific orthopedic implant models from imaging, which is an important and time-consuming task, the scope of prior works and performance of prior models have not b...
Radiography Orthopedics Humans Artificial Intelligence Algorithms ROC Curve
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Deep learning-based detection of eosinophilic esophagitis.

Endoscopy Aug 4, 2021
BACKGROUND: For eosinophilic esophagitis (EoE), a substantial diagnostic delay is still a clinically relevant phenomenon. Deep learning-based algorithms have demonstrated potential in medical image analysis. Here we establish a convolutional neuronal...
Deep Learning ROC Curve Eosinophilic Esophagitis Delayed Diagnosis Humans Algorithms
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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...
Computed Tomography Angiography Humans Image Processing, Computer-Assisted Pulmonary Embolism Deep Learning ROC Curve
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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 ...
Machine Learning ROC Curve Fundus Oculi Retina Humans Artificial Intelligence Retinal Vein Occlusion
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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...
Male Middle Aged Incidence ROC Curve Republic of Korea Female Aged Diabetes Mellitus Predictive Value of Tests Age of Onset Machine Learning Prospective Studies Humans
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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...
Humans Machine Learning Algorithms Prognosis Decision Making, Computer-Assisted Postoperative Complications ROC Curve Logistic Models Carcinoma, Renal Cell Nephrectomy Support Vector Machine Kidney Neoplasms Adult Male Middle Aged Risk Assessment Acute Kidney Injury Female Aged
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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...
Models, Theoretical Bayes Theorem Peer Group Reproducibility of Results Risk Assessment ROC Curve Humans Neural Networks, Computer Algorithms
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