AIMC Topic: Image Interpretation, Computer-Assisted
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Artificial Intelligence Pertaining to Cardiothoracic Imaging and Patient Care: Beyond Image Interpretation.
Journal of thoracic imaging
May 1, 2020
Artificial intelligence (AI) is a broad field of computational science that includes many subsets. Today the most widely used subset in medical imaging is machine learning (ML). Many articles have focused on the use of ML for pattern recognition to d...
Deep Learning AI Applications in the Imaging of Glioma.
Topics in magnetic resonance imaging : TMRI
Apr 1, 2020
This manuscript will review emerging applications of artificial intelligence, specifically deep learning, and its application to glioblastoma multiforme (GBM), the most common primary malignant brain tumor. Current deep learning approaches, commonly ...
MLCD: A Unified Software Package for Cancer Diagnosis.
JCO clinical cancer informatics
Mar 1, 2020
PURPOSE: Machine Learning Package for Cancer Diagnosis (MLCD) is the result of a National Institutes of Health/National Cancer Institute (NIH/NCI)-sponsored project for developing a unified software package from state-of-the-art breast cancer biopsy ...
Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis.
JCO clinical cancer informatics
Mar 1, 2020
PURPOSE: Deep learning (DL), a class of approaches involving self-learned discriminative features, is increasingly being applied to digital pathology (DP) images for tasks such as disease identification and segmentation of tissue primitives (eg, nucl...
Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century.
The British journal of radiology
Feb 1, 2020
Advances in computing hardware and software platforms have led to the recent resurgence in artificial intelligence (AI) touching almost every aspect of our daily lives by its capability for automating complex tasks or providing superior predictive an...
Artificial intelligence approaches to improve kidney care.
Nature reviews. Nephrology
Feb 1, 2020
Artificial intelligence is increasingly being used to improve diagnosis and prognostication for acute and chronic kidney diseases. Studies published in 2019 relied on a variety of available data sources towards this objective, including electronic he...
Using Machine Learning and Structural Neuroimaging to Detect First Episode Psychosis: Reconsidering the Evidence.
Schizophrenia bulletin
Jan 4, 2020
Despite the high level of interest in the use of machine learning (ML) and neuroimaging to detect psychosis at the individual level, the reliability of the findings is unclear due to potential methodological issues that may have inflated the existing...
Artificial Intelligence and Machine Learning in Cardiovascular Imaging.
Methodist DeBakey cardiovascular journal
Jan 1, 2020
Cardiovascular disease is the leading cause of mortality in Western countries and leads to a spectrum of complications that can complicate patient management. The emergence of artificial intelligence (AI) has garnered significant interest in many ind...
A brief history of artificial intelligence and robotic surgery in orthopedics & traumatology and future expectations.
Joint diseases and related surgery
Jan 1, 2020
Recently, the rate of the production and renewal of information makes it almost impossible to be updated. It is quite difficult to process and interpret large amounts of data by human beings. Unlimited memory capacities, learning abilities, artificia...
Deep Learning for Carotid Plaque Segmentation using a Dilated U-Net Architecture.
Ultrasonic imaging
Jan 1, 2020
Carotid plaque segmentation in ultrasound longitudinal B-mode images using deep learning is presented in this work. We report on 101 severely stenotic carotid plaque patients. A standard U-Net is compared with a dilated U-Net architecture in which th...
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