AIMC Topic: ROC Curve

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Macular Vessel Density and Ganglion Cell/Inner Plexiform Layer Thickness and Their Combinational Index Using Artificial Intelligence.

Journal of glaucoma Sep 1, 2018
PURPOSE: To evaluate the relationship between macular vessel density and ganglion cell to inner plexiform layer thickness (GCIPLT) and to compare their diagnostic performance. We attempted to develop a new combined parameter using an artificial neura...
Adult Cross-Sectional Studies Intraocular Pressure Male Neural Networks, Computer Artificial Intelligence Female Aged Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells Retinal Vessels Glaucoma, Open-Angle Middle Aged Case-Control Studies ROC Curve Area Under Curve Humans
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Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists.

Annals of oncology : official journal of the European Society for Medical Oncology Aug 1, 2018
BACKGROUND: Deep learning convolutional neural networks (CNN) may facilitate melanoma detection, but data comparing a CNN's diagnostic performance to larger groups of dermatologists are lacking.
Skin Dermatologists International Cooperation Deep Learning Clinical Competence ROC Curve Image Processing, Computer-Assisted Humans Retrospective Studies Melanoma Skin Neoplasms Dermoscopy Cross-Sectional Studies
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Machine learning approach for early detection of autism by combining questionnaire and home video screening.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2018
BACKGROUND: Existing screening tools for early detection of autism are expensive, cumbersome, time- intensive, and sometimes fall short in predictive value. In this work, we sought to apply Machine Learning (ML) to gold standard clinical data obtaine...
Humans ROC Curve Early Diagnosis Autistic Disorder Methods Videotape Recording Machine Learning Algorithms Surveys and Questionnaires Child, Preschool
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Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective.

Journal of digital imaging Aug 1, 2018
Mammographic breast density has been established as an independent risk marker for developing breast cancer. Breast density assessment is a routine clinical need in breast cancer screening and current standard is using the Breast Imaging and Reportin...
ROC Curve Female United States Humans Breast Neoplasms Area Under Curve Neural Networks, Computer Early Detection of Cancer Deep Learning Observer Variation Databases, Factual Mammography Cohort Studies Retrospective Studies Breast Density
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Improving Young Stroke Prediction by Learning with Active Data Augmenter in a Large-Scale Electronic Medical Claims Database.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Electronic medical claims (EMC) database has been successfully used for predicting occurrences of stroke and a variety of other diseases. However, inadequate predictive performances have been observed in cases of rare occurrences due to both insuffic...
Area Under Curve Databases, Factual Humans Stroke Adult Neural Networks, Computer Middle Aged ROC Curve Machine Learning Forecasting
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Osteosarcoma Patients Classification Using Plain X-Rays and Metabolomic Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Osteosarcoma is the most common type of bone cancer. The primary means of osteosarcoma diagnosis is through evaluating plain x-rays. Using image analysis techniques, features that clinicians use to diagnose osteosarcoma can be quantified and studied ...
Metabolomics Osteosarcoma Radiography Humans X-Rays Algorithms Sensitivity and Specificity ROC Curve Image Processing, Computer-Assisted Support Vector Machine
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Patch-level Tumor Classification in Digital Histopathology Images with Domain Adapted Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Tumor histopathology is a crucial step in cancer diagnosis which involves visual inspection of imaging data to detect the presence of tumor cells among healthy tissues. This manual process can be time-consuming, error-prone, and influenced by the exp...
Humans Neural Networks, Computer Neoplasms Deep Learning ROC Curve Area Under Curve Image Interpretation, Computer-Assisted Histological Techniques
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Predicting Mortality in the Surgical Intensive Care Unit Using Artificial Intelligence and Natural Language Processing of Physician Documentation.

The American surgeon Jul 1, 2018
The purpose of this study was to use natural language processing of physician documentation to predict mortality in patients admitted to the surgical intensive care unit (SICU). The Multiparameter Intelligent Monitoring in Intensive Care III database...
Critical Care Documentation Humans General Surgery Artificial Intelligence ROC Curve Electronic Health Records Retrospective Studies United States Severity of Illness Index Intensive Care Units Predictive Value of Tests Length of Stay Natural Language Processing Hospital Mortality
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Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.

JAMA ophthalmology Jul 1, 2018
IMPORTANCE: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The decision to treat is primarily based on the presence of plus disease, defined as dilation and tortuosity of retinal vessels. However, clinical diagn...
Humans Neural Networks, Computer Algorithms Female Infant, Newborn Deep Learning Gestational Age Reproducibility of Results ROC Curve Retinopathy of Prematurity Image Interpretation, Computer-Assisted Sensitivity and Specificity Photography Infant, Premature Male Retinal Vessels Infant
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Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.

Annals of the American Thoracic Society Jul 1, 2018
RATIONALE: Patients transferred from the intensive care unit to the wards who are later readmitted to the intensive care unit have increased length of stay, healthcare expenditure, and mortality compared with those who are never readmitted. Improving...
Patient Readmission Illinois Risk Assessment Time Factors Retrospective Studies Electronic Health Records ROC Curve Humans Critical Illness Female Follow-Up Studies Intensive Care Units Machine Learning Male Middle Aged
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