AIMC Topic: Area Under Curve

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An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study.

The Lancet. Digital health Aug 1, 2020
BACKGROUND: There is high demand to develop computer-assisted diagnostic tools to evaluate prostate core needle biopsies (CNBs), but little clinical validation and a lack of clinical deployment of such tools. We report here on a blinded clinical vali...
Humans Artificial Intelligence Data Analysis Algorithms Middle Aged ROC Curve Area Under Curve Prostatic Neoplasms Neoplasm Grading Aged Aged, 80 and over Adult Male Biopsy, Large-Core Needle Pathology, Clinical Prostate Pathologists Microscopy Image Interpretation, Computer-Assisted
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Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.

Molecular imaging and biology Aug 1, 2020
PURPOSE: Considerable progress has been made in the assessment and management of non-small cell lung cancer (NSCLC) patients based on mutation status in the epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene (KRAS). At the...
Proto-Oncogene Proteins p21(ras) Female Positron-Emission Tomography Aged Humans High-Throughput Nucleotide Sequencing Genomics Machine Learning Male Multivariate Analysis Carcinoma, Non-Small-Cell Lung Algorithms ErbB Receptors Lung Neoplasms Multimodal Imaging Area Under Curve Mutation
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ASSESSMENT OF CENTRAL SEROUS CHORIORETINOPATHY DEPICTED ON COLOR FUNDUS PHOTOGRAPHS USING DEEP LEARNING.

Retina (Philadelphia, Pa.) Aug 1, 2020
PURPOSE: To investigate whether and to what extent central serous chorioretinopathy (CSC) depicted on color fundus photographs can be assessed using deep learning technology.
Humans Female Adult Male Middle Aged Tomography, Optical Coherence Diagnosis, Computer-Assisted Fundus Oculi Deep Learning Photography ROC Curve Ophthalmologists Area Under Curve Central Serous Chorioretinopathy
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Using Machine Learning to Predict Primary Care and Advance Workforce Research.

Annals of family medicine Jul 1, 2020
PURPOSE: To develop and test a machine-learning-based model to predict primary care and other specialties using Medicare claims data.
Workforce Physicians, Primary Care Insurance Claim Review Humans Primary Health Care Machine Learning United States Algorithms Area Under Curve Cross-Sectional Studies Medicare ROC Curve
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Automatic Detection and Classification of Rib Fractures on Thoracic CT Using Convolutional Neural Network: Accuracy and Feasibility.

Korean journal of radiology Jul 1, 2020
OBJECTIVE: To evaluate the performance of a convolutional neural network (CNN) model that can automatically detect and classify rib fractures, and output structured reports from computed tomography (CT) images.
Thorax ROC Curve Image Processing, Computer-Assisted Area Under Curve Feasibility Studies Rib Fractures Tomography, X-Ray Computed Female Aged Aged, 80 and over Young Adult Adult Male Middle Aged Humans Neural Networks, Computer
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Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group.

Nature medicine Jun 1, 2020
Predictive Value of Tests Area Under Curve Research Report Guidelines as Topic Diagnostic Techniques and Procedures Humans Artificial Intelligence Sensitivity and Specificity ROC Curve
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Mantis-ml: Disease-Agnostic Gene Prioritization from High-Throughput Genomic Screens by Stochastic Semi-supervised Learning.

American journal of human genetics May 7, 2020
Access to large-scale genomics datasets has increased the utility of hypothesis-free genome-wide analyses. However, gene signals are often insufficiently powered to reach experiment-wide significance, triggering a process of laborious triaging of gen...
Epilepsy Amyotrophic Lateral Sclerosis Supervised Machine Learning Stochastic Processes Exome Humans Genetic Association Studies Neural Networks, Computer Renal Insufficiency, Chronic Reproducibility of Results Disease Models, Animal Animals Area Under Curve Deep Learning ROC Curve Mice Genomics
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EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning.

Journal of the American Medical Informatics Association : JAMIA May 1, 2020
OBJECTIVE: Predicting patient outcomes using healthcare/genomics data is an increasingly popular/important area. However, some diseases are rare and require data from multiple institutions to construct generalizable models. To address institutional d...
Datasets as Topic Computer Security Computer Communication Networks Genomics Prognosis Blockchain Logistic Models Humans Female Area Under Curve Machine Learning Male Decision Support Systems, Management Algorithms Length of Stay Decision Support Systems, Clinical Delivery of Health Care
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Incorporating natural language processing to improve classification of axial spondyloarthritis using electronic health records.

Rheumatology (Oxford, England) May 1, 2020
OBJECTIVES: To develop classification algorithms that accurately identify axial SpA (axSpA) patients in electronic health records, and compare the performance of algorithms incorporating free-text data against approaches using only International Clas...
Algorithms Electronic Health Records Female Aged Sensitivity and Specificity Male Middle Aged Cohort Studies Natural Language Processing Humans Area Under Curve Spondylarthritis Quality Improvement International Classification of Diseases Spondylitis, Ankylosing
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Radiomics and Deep Learning: Hepatic Applications.

Korean journal of radiology Apr 1, 2020
Radiomics and deep learning have recently gained attention in the imaging assessment of various liver diseases. Recent research has demonstrated the potential utility of radiomics and deep learning in staging liver fibroses, detecting portal hyperten...
Hypertension, Portal Liver Neoplasms Humans Image Processing, Computer-Assisted Databases, Factual Liver Cirrhosis Deep Learning Area Under Curve ROC Curve Liver Diseases
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