AIMC Topic: Data Systems

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Simplifying risk stratification for thyroid nodules on ultrasound: validation and performance of an artificial intelligence thyroid imaging reporting and data system.

Current problems in diagnostic radiology Jul 9, 2024
PURPOSE: To validate the performance of a recently created risk stratification system (RSS) for thyroid nodules on ultrasound, the Artificial Intelligence Thyroid Imaging Reporting and Data System (AI TI-RADS).
Adult Sensitivity and Specificity Male Female Aged Aged, 80 and over Thyroid Nodule Biopsy, Fine-Needle Radiology Information Systems Data Systems Artificial Intelligence Middle Aged Retrospective Studies Risk Assessment Humans Ultrasonography
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The Impact of Artificial Intelligence on Data System Security: A Literature Review.

Sensors (Basel, Switzerland) Oct 23, 2021
Diverse forms of artificial intelligence (AI) are at the forefront of triggering digital security innovations based on the threats that are arising in this post-COVID world. On the one hand, companies are experiencing difficulty in dealing with secur...
COVID-19 SARS-CoV-2 Data Systems Computer Security Humans Artificial Intelligence
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Neural Network-Based Mapping Mining of Image Style Transfer in Big Data Systems.

Computational intelligence and neuroscience Aug 21, 2021
Image style transfer can realize the mutual transfer between different styles of images and is an essential application for big data systems. The use of neural network-based image data mining technology can effectively mine the useful information in ...
Humans Neural Networks, Computer Semantics Data Systems
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Thyroid Ultrasound Reports: Will the Thyroid Imaging, Reporting, and Data System Improve Natural Language Processing Capture of Critical Thyroid Nodule Features?

The Journal of surgical research Aug 13, 2020
BACKGROUND: Critical thyroid nodule features are contained in unstructured ultrasound (US) reports. The Thyroid Imaging, Reporting, and Data System (TI-RADS) uses five key features to risk stratify nodules and recommend appropriate intervention. This...
Societies, Medical Practice Guidelines as Topic Data Systems Hospitals, Community Ultrasonography Thyroid Nodule Image Processing, Computer-Assisted Humans Natural Language Processing Retrospective Studies Radiology Thyroid Gland Academic Medical Centers
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Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence.

Radiology Jul 30, 2020
Background The coronavirus disease 2019 (COVID-19) pandemic has spread across the globe with alarming speed, morbidity, and mortality. Immediate triage of patients with chest infections suspected to be caused by COVID-19 using chest CT may be of assi...
Male Middle Aged Severity of Illness Index Data Systems Thorax Tomography, X-Ray Computed Humans Female Artificial Intelligence Aged COVID-19 Research Design Retrospective Studies
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The correlation of deep learning-based CAD-RADS evaluated by coronary computed tomography angiography with breast arterial calcification on mammography.

Scientific reports Jul 13, 2020
This study sought to evaluate the association of breast arterial calcification (BAC) on breast screening mammography with the Coronary Artery Disease-Reporting and Data System (CAD-RADS) based on Deep Learning-coronary computed tomography angiography...
Data Systems Vascular Calcification Computed Tomography Angiography Humans Deep Learning Female Early Detection of Cancer Mammography Coronary Artery Disease Breast Adult Coronary Angiography Breast Neoplasms Risk Factors Heart Middle Aged Aged Aged, 80 and over
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Added Value of Quantitative Ultrasound and Machine Learning in BI-RADS 4-5 Assessment of Solid Breast Lesions.

Ultrasound in medicine & biology Nov 27, 2019
The purpose of this study was to evaluate various combinations of 13 features based on shear wave elasticity (SWE), statistical and spectral backscatter properties of tissues, along with the Breast Imaging Reporting and Data System (BI-RADS), for cla...
Aged, 80 and over Ultrasonography, Mammary Humans Young Adult Machine Learning Research Design Adult Female Aged Breast Neoplasms Middle Aged Adolescent Data Systems
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A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
We propose a scalable computerized approach for large-scale inference of Liver Imaging Reporting and Data System (LI-RADS) final assessment categories in narrative ultrasound (US) reports. Although our model was trained on reports created using a LI-...
Carcinoma, Hepatocellular Diagnosis, Computer-Assisted Liver Humans Radiology Information Systems Data Systems Ultrasonography Machine Learning Liver Neoplasms Algorithms
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An integrated nomogram combining deep learning, Prostate Imaging-Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study.

The Lancet. Digital health Jul 1, 2021
BACKGROUND: Biparametric MRI (comprising T2-weighted MRI and apparent diffusion coefficient maps) is increasingly being used to characterise prostate cancer. Although previous studies have combined Prostate Imaging-Reporting & Data System (PI-RADS)-b...
Research Design Retrospective Studies Male Deep Learning Humans Multiparametric Magnetic Resonance Imaging Nomograms Prostatic Neoplasms Data Systems
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