AIMC Topic: Sensitivity and Specificity

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Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images.

The British journal of ophthalmology May 6, 2020
BACKGROUND: Photographic diabetic retinopathy screening requires labour-intensive grading of retinal images by humans. Automated retinal image analysis software (ARIAS) could provide an alternative to human grading. We compare the performance of an A...
Reproducibility of Results Aged Adult Sensitivity and Specificity Cross-Sectional Studies Male Humans Diabetic Retinopathy Artificial Intelligence Algorithms Female Diagnostic Tests, Routine False Positive Reactions Reference Standards Middle Aged Slit Lamp Microscopy Image Processing, Computer-Assisted Microscopy, Confocal Predictive Value of Tests Diagnostic Imaging Retina
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Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor Regression.

American journal of ophthalmology May 6, 2020
PURPOSE: To predict the visual field (VF) of glaucoma patients within the central 10° from optical coherence tomography (OCT) measurements using deep learning and tensor regression.
Visual Fields Visual Field Tests Optic Nerve Diseases Glaucoma, Open-Angle Gonioscopy Slit Lamp Microscopy Male Middle Aged Deep Learning Visual Acuity Vision Disorders Tomography, Optical Coherence Axial Length, Eye Humans Retrospective Studies Female Aged Adult Sensitivity and Specificity Cross-Sectional Studies Intraocular Pressure
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A Diagnostic Algorithm using Multi-parametric MRI to Differentiate Benign from Malignant Myometrial Tumors: Machine-Learning Method.

Scientific reports May 4, 2020
This study aimed to develop a diagnostic algorithm for preoperative differentiating uterine sarcoma from leiomyoma through a supervised machine-learning method using multi-parametric MRI. A total of 65 participants with 105 myometrial tumors were inc...
Magnetic Resonance Spectroscopy Algorithms Leiomyoma Female Premenopause Diagnosis, Computer-Assisted Humans Reproducibility of Results Myometrium Image Processing, Computer-Assisted Machine Learning Adult Magnetic Resonance Imaging Sensitivity and Specificity Decision Trees Middle Aged Predictive Value of Tests Uterine Neoplasms
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Applying machine learning methods to develop a successful aging maintenance prediction model based on physical fitness tests.

Geriatrics & gerontology international May 1, 2020
AIM: The purpose of this study was to develop a machine learning prediction model for successful aging (SA) based on physical fitness tests.
Female Aged Aged, 80 and over Follow-Up Studies Sensitivity and Specificity Decision Trees Male Humans Predictive Value of Tests Middle Aged Aging Machine Learning Geriatric Assessment Exercise Physical Fitness China Independent Living Surveys and Questionnaires Healthy Aging ROC Curve Logistic Models
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Computer-Aided Pathologic Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning.

The American journal of pathology Apr 29, 2020
The pathologic diagnosis of nasopharyngeal carcinoma (NPC) by different pathologists is often inefficient and inconsistent. We have therefore introduced a deep learning algorithm into this process and compared the performance of the model with that o...
Nasopharyngeal Neoplasms Databases, Factual Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Nasopharyngeal Carcinoma Humans Neural Networks, Computer
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Convolutional Neural Networks in Predicting Nodal and Distant Metastatic Potential of Newly Diagnosed Non-Small Cell Lung Cancer on FDG PET Images.

AJR. American journal of roentgenology Apr 29, 2020
The purpose of this study was to assess, by analyzing features of the primary tumor with F-FDG PET, the utility of deep machine learning with a convolutional neural network (CNN) in predicting the potential of newly diagnosed non-small cell lung can...
Neoplasm Metastasis Fluorodeoxyglucose F18 Humans Neural Networks, Computer Retrospective Studies Female Aged Lung Neoplasms Aged, 80 and over Carcinoma, Non-Small-Cell Lung Adult Lymphatic Metastasis Sensitivity and Specificity Predictive Value of Tests Male Positron Emission Tomography Computed Tomography Middle Aged Radiopharmaceuticals Imaging, Three-Dimensional
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Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT.

Radiology Apr 27, 2020
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intellige...
Humans Artificial Intelligence Pandemics COVID-19 Retrospective Studies Tomography, X-Ray Computed Female Infant, Newborn Child, Preschool Male Betacoronavirus Child Middle Aged Pneumonia, Viral Infant Diagnosis, Differential Lung Pneumonia Radiography, Thoracic China Radiologists SARS-CoV-2 Philadelphia Adolescent Coronavirus Infections Rhode Island Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity
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Classification of COVID-19 patients from chest CT images using multi-objective differential evolution-based convolutional neural networks.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology Apr 27, 2020
Early classification of 2019 novel coronavirus disease (COVID-19) is essential for disease cure and control. Compared with reverse-transcription polymerase chain reaction (RT-PCR), chest computed tomography (CT) imaging may be a significantly more tr...
False Positive Reactions Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Deep Learning Reverse Transcriptase Polymerase Chain Reaction Pandemics Coronavirus Infections COVID-19 COVID-19 Testing Tomography, X-Ray Computed Image Interpretation, Computer-Assisted Humans SARS-CoV-2 False Negative Reactions Neural Networks, Computer Sensitivity and Specificity Lung
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Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study.

Cancer imaging : the official publication of the International Cancer Imaging Society Apr 25, 2020
BACKGROUND: Preoperative detection of lymph node (LN) metastasis is critical for planning treatments in colon cancer (CC). The clinical diagnostic criteria based on the size of the LNs are not sensitive to determine metastasis using CT images. In thi...
Pilot Projects Lymphatic Metastasis Colonic Neoplasms Preoperative Period Female Aged Adult Sensitivity and Specificity Male Humans Middle Aged Machine Learning Retrospective Studies Tomography, X-Ray Computed
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Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study.

The Lancet. Digital health Apr 23, 2020
BACKGROUND: Deep learning is a novel machine learning technique that has been shown to be as effective as human graders in detecting diabetic retinopathy from fundus photographs. We used a cost-minimisation analysis to evaluate the potential savings ...
Ophthalmology Singapore Models, Biological Retina Sensitivity and Specificity Humans Diagnostic Techniques, Ophthalmological Telemedicine Middle Aged Diabetic Retinopathy Health Care Costs Cost-Benefit Analysis Image Processing, Computer-Assisted Artificial Intelligence Photography Diabetes Mellitus Physical Examination Machine Learning Mass Screening Aged Decision Trees Adult
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