AIMC Topic: Diagnostic Imaging
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Pathology Image Analysis Using Segmentation Deep Learning Algorithms.
The American journal of pathology
Jun 11, 2019
With the rapid development of image scanning techniques and visualization software, whole slide imaging (WSI) is becoming a routine diagnostic method. Accelerating clinical diagnosis from pathology images and automating image analysis efficiently and...
Concepts in U.S. Food and Drug Administration Regulation of Artificial Intelligence for Medical Imaging.
AJR. American journal of roentgenology
Jun 5, 2019
Although extensive attention has been focused on the enormous potential of artificial intelligence (AI) technology, a major question remains: how should this fundamentally new technology be regulated? The purpose of this article is to provide an ove...
A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop.
Journal of the American College of Radiology : JACR
May 28, 2019
Advances in machine learning in medical imaging are occurring at a rapid pace in research laboratories both at academic institutions and in industry. Important artificial intelligence (AI) tools for diagnostic imaging include algorithms for disease d...
Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.
Radiology
May 21, 2019
Background Risk stratification systems for thyroid nodules are often complicated and affected by low specificity. Continual improvement of these systems is necessary to reduce the number of unnecessary thyroid biopsies. Purpose To use artificial inte...
Sensitivity and Specificity
Male
Middle Aged
Aged, 80 and over
Young Adult
Adult
Thyroid Nodule
United States
Diagnostic Imaging
Risk Assessment
Adolescent
Thyroid Gland
Humans
Artificial Intelligence
Retrospective Studies
Female
Reproducibility of Results
Aged
Societies, Medical
Image Interpretation, Computer-Assisted
Radiology Information Systems
Deep Belief CNN Feature Representation Based Content Based Image Retrieval for Medical Images.
Journal of medical systems
May 8, 2019
Avascular Necrosis (AN) is a cause of muscular-skeletal disability. As it is common amongst the younger people, early intervention and prompt diagnosis is requisite. This disease normally affects the femoral bones, in order that the bones' shape gets...
Machine Learning for Medical Imaging.
Journal of healthcare engineering
Apr 28, 2019
Why Radiologists Have Nothing to Fear From Deep Learning.
Journal of the American College of Radiology : JACR
Apr 18, 2019
A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop.
Radiology
Apr 16, 2019
Imaging research laboratories are rapidly creating machine learning systems that achieve expert human performance using open-source methods and tools. These artificial intelligence systems are being developed to improve medical image reconstruction, ...
Approximating the Ideal Observer and Hotelling Observer for Binary Signal Detection Tasks by Use of Supervised Learning Methods.
IEEE transactions on medical imaging
Apr 15, 2019
It is widely accepted that the optimization of medical imaging system performance should be guided by task-based measures of image quality (IQ). Task-based measures of IQ quantify the ability of an observer to perform a specific task, such as detecti...
Artificial Intelligence in Nuclear Cardiology.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Mar 29, 2019
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