AIMC Topic: North America

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Rise of Clinical Studies in the Field of Machine Learning: A Review of Data Registered in ClinicalTrials.gov.

International journal of environmental research and public health May 11, 2021
Although advances in machine-learning healthcare applications promise great potential for innovative medical care, few data are available on the translational status of these new technologies. We aimed to provide a comprehensive characterization of t...
Europe Registries Humans Asia Machine Learning North America
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Assessing the potential for deep learning and computer vision to identify bumble bee species from images.

Scientific reports Apr 7, 2021
Pollinators are undergoing a global decline. Although vital to pollinator conservation and ecological research, species-level identification is expensive, time consuming, and requires specialized taxonomic training. However, deep learning and compute...
Bees Pollination Conservation of Natural Resources Neural Networks, Computer Species Specificity Artificial Intelligence Ecosystem Databases, Factual Deep Learning Animals Image Processing, Computer-Assisted Pigmentation North America
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Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras.

Ophthalmology. Retina Feb 6, 2021
PURPOSE: Stage is an important feature to identify in retinal images of infants at risk of retinopathy of prematurity (ROP). The purpose of this study was to implement a convolutional neural network (CNN) for binary detection of stages 1, 2, and 3 in...
Humans Male Diagnosis, Computer-Assisted Deep Learning ROC Curve Female Infant, Newborn Reproducibility of Results Sensitivity and Specificity Photography North America Nepal Datasets as Topic Image Processing, Computer-Assisted Reference Standards Area Under Curve Gestational Age Birth Weight Retinopathy of Prematurity
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"AI's gonna have an impact on everything in society, so it has to have an impact on public health": a fundamental qualitative descriptive study of the implications of artificial intelligence for public health.

BMC public health Jan 6, 2021
BACKGROUND: Our objective was to determine the impacts of artificial intelligence (AI) on public health practice.
Big Data Asia North America Humans Artificial Intelligence Public Health
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Automated body composition analysis of clinically acquired computed tomography scans using neural networks.

Clinical nutrition (Edinburgh, Scotland) Jan 22, 2020
BACKGROUND & AIMS: The quantity and quality of skeletal muscle and adipose tissue is an important prognostic factor for clinical outcomes across several illnesses. Clinically acquired computed tomography (CT) scans are commonly used for quantificatio...
Predictive Value of Tests Body Composition Radiographic Image Interpretation, Computer-Assisted Lumbar Vertebrae Adiposity Automation North America Europe Sarcopenia Muscle, Skeletal Adipose Tissue Male Middle Aged Deep Learning Humans Neural Networks, Computer Tomography, X-Ray Computed Female Reproducibility of Results Aged Adult
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Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.

Journal of the American College of Radiology : JACR Oct 1, 2019
This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of M...
Codes of Ethics Radiology Humans Practice Guidelines as Topic Artificial Intelligence North America Europe Societies, Medical
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Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE Registry.

JACC. Cardiovascular imaging Aug 14, 2019
OBJECTIVES: This study was conducted to investigate the influence of coronary artery calcium (CAC) score on the diagnostic performance of machine-learning-based coronary computed tomography (CT) angiography (cCTA)-derived fractional flow reserve (CT-...
Registries Coronary Artery Disease Vascular Calcification Asia Computed Tomography Angiography Female Fractional Flow Reserve, Myocardial Reproducibility of Results North America Aged Europe Humans Male Predictive Value of Tests Machine Learning Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted
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Deep learning in medical image analysis: A third eye for doctors.

Journal of stomatology, oral and maxillofacial surgery Jun 26, 2019
AIM AND SCOPE: Artificial intelligence (AI) in medicine is a fast-growing field. The rise of deep learning algorithms, such as convolutional neural networks (CNNs), offers fascinating perspectives for the automation of medical image analysis. In this...
Neural Networks, Computer Algorithms Deep Learning Asia North America
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Tackling the Radiological Society of North America Pneumonia Detection Challenge.

AJR. American journal of roentgenology May 23, 2019
We provide overviews of deep learning approaches used by two top-placing teams for the 2018 Radiological Society of North America (RSNA) Pneumonia Detection Challenge. Practical applications of deep learning techniques, as well as insights into the...
Awards and Prizes Pneumonia North America Humans Societies, Medical Algorithms Deep Learning
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Remediating radium contaminated legacy sites: Advances made through machine learning in routine monitoring of "hot" particles.

The Science of the total environment Apr 3, 2015
The extensive use of radium during the 20th century for industrial, military and pharmaceutical purposes has led to a large number of contaminated legacy sites across Europe and North America. Sites that pose a high risk to the general public can pre...
North America Hazardous Waste Sites Radioactive Waste Artificial Intelligence Europe Radiation Monitoring Algorithms Environmental Restoration and Remediation Soil Models, Chemical Radium
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