AIMC Topic: Sensitivity and Specificity

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Development of a Deep Learning-Based Model for Diagnosing Breast Nodules With Ultrasound.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Aug 8, 2020
OBJECTIVES: Artificial intelligence (AI) has been an important addition to medicine. We aimed to explore the use of deep learning (DL) to distinguish benign from malignant lesions with breast ultrasound (BUS).
Humans ROC Curve Artificial Intelligence Female Sensitivity and Specificity Deep Learning Ultrasonography
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Optic Disc Classification by Deep Learning versus Expert Neuro-Ophthalmologists.

Annals of neurology Aug 7, 2020
OBJECTIVE: To compare the diagnostic performance of an artificial intelligence deep learning system with that of expert neuro-ophthalmologists in classifying optic disc appearance.
Humans Female Deep Learning Image Interpretation, Computer-Assisted Aged Optic Disk Adult Diagnostic Techniques, Ophthalmological Sensitivity and Specificity Ophthalmologists Male Middle Aged
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Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial.

Computers in biology and medicine Aug 6, 2020
BACKGROUND: Currently, physicians are limited in their ability to provide an accurate prognosis for COVID-19 positive patients. Existing scoring systems have been ineffective for identifying patient decompensation. Machine learning (ML) may offer an ...
COVID-19 Drug Treatment Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Triage Coronavirus Infections Respiratory Insufficiency COVID-19 Testing Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Respiration, Artificial Computational Biology United States Algorithms Prospective Studies Prognosis Female SARS-CoV-2 Humans Machine Learning Pandemics COVID-19
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Multicenter Multireader Evaluation of an Artificial Intelligence-Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRI.

AJR. American journal of roentgenology Aug 5, 2020
The purpose of this study was to evaluate in a multicenter dataset the performance of an artificial intelligence (AI) detection system with attention mapping compared with multiparametric MRI (mpMRI) interpretation in the detection of prostate cance...
Observer Variation Random Allocation Algorithms Humans Multiparametric Magnetic Resonance Imaging Middle Aged Retrospective Studies Artificial Intelligence Diagnosis, Computer-Assisted Aged Adenocarcinoma Sensitivity and Specificity Prostatic Neoplasms Male
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Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges.

Journal of infection and public health Aug 2, 2020
Cancer is a fatal illness often caused by genetic disorder aggregation and a variety of pathological changes. Cancerous cells are abnormal areas often growing in any part of human body that are life-threatening. Cancer also known as tumor must be qui...
Humans Machine Learning Tomography, X-Ray Computed Female Lung Neoplasms Magnetic Resonance Imaging Precursor Cell Lymphoblastic Leukemia-Lymphoma Male Skin Neoplasms Neoplasms Sensitivity and Specificity Surveys and Questionnaires Breast Neoplasms Liver Neoplasms Brain Neoplasms Image Processing, Computer-Assisted
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A Transparent and Adaptable Method to Extract Colonoscopy and Pathology Data Using Natural Language Processing.

Journal of medical systems Jul 31, 2020
Key variables recorded as text in colonoscopy and pathology reports have been extracted using natural language processing (NLP) tools that were not easily adaptable to new settings. We aimed to develop a reliable NLP tool with broad adaptability. Dur...
Colonoscopy Predictive Value of Tests Natural Language Processing Humans Data Analysis Delivery of Health Care Sensitivity and Specificity
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Impact of radiomics on the breast ultrasound radiologist's clinical practice: From lumpologist to data wrangler.

European journal of radiology Jul 30, 2020
OBJECTIVE: The study aims to assess the impact of radiomics in the clinical practice of breast ultrasound, to determine which lesions are undetermined by the software, and to discuss the future of the radiologist's role.
Humans Artificial Intelligence Software Female Sensitivity and Specificity Ultrasonography, Mammary Breast Neoplasms ROC Curve Breast Diagnosis, Differential Fibroadenoma Radiologists Physician's Role Biopsy Phyllodes Tumor
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A Comparison of Three-Dimensional Speckle Tracking Echocardiography Parameters in Predicting Left Ventricular Remodeling.

Journal of healthcare engineering Jul 30, 2020
Three-dimensional speckle tracking echocardiography (3D STE) is an emerging noninvasive method for predicting left ventricular remodeling (LVR) after acute myocardial infarction (AMI). Previous studies analyzed the predictive value of 3D STE with tra...
Myocardial Infarction Heart Ventricles Ventricular Remodeling Ventricular Dysfunction, Left Echocardiography Models, Statistical Humans Risk Factors Middle Aged Predictive Value of Tests Machine Learning Aged ROC Curve Area Under Curve Adult Female Imaging, Three-Dimensional Coronary Angiography Sensitivity and Specificity Reproducibility of Results Percutaneous Coronary Intervention Male
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Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging.

Journal of gastroenterology and hepatology Jul 28, 2020
BACKGROUND AND AIM: Magnifying endoscopy with narrow-band imaging (ME-NBI) has made a huge contribution to clinical practice. However, acquiring skill at ME-NBI diagnosis of early gastric cancer (EGC) requires considerable expertise and experience. R...
Aged, 80 and over Adult Stomach Neoplasms Sensitivity and Specificity Humans Middle Aged Male Neural Networks, Computer Early Detection of Cancer Artificial Intelligence Predictive Value of Tests Female Endoscopy, Gastrointestinal Aged Narrow Band Imaging
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Range of Radiologist Performance in a Population-based Screening Cohort of 1 Million Digital Mammography Examinations.

Radiology Jul 28, 2020
Background There is great interest in developing artificial intelligence (AI)-based computer-aided detection (CAD) systems for use in screening mammography. Comparative performance benchmarks from true screening cohorts are needed. Purpose To determi...
Retrospective Studies Female Sweden Aged Adult Sensitivity and Specificity Breast Neoplasms Mass Screening Middle Aged Humans Early Detection of Cancer Clinical Competence Artificial Intelligence Mammography Benchmarking
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