AIMC Topic: Diagnostic Imaging
Clear Filters Showing 661 to 670 of 978 articles
Artificial Intelligence in Breast Imaging: Potentials and Limitations.
AJR. American journal of roentgenology
Nov 13, 2018
OBJECTIVE: The purpose of this article is to discuss potential applications of artificial intelligence (AI) in breast imaging and limitations that may slow or prevent its adoption.
How Cognitive Machines Can Augment Medical Imaging.
AJR. American journal of roentgenology
Nov 13, 2018
OBJECTIVE: Artificial intelligence (AI) neural networks rapidly convert disparate facts and data into highly predictive analytic models. Machine learning maps image-patient phenotype correlations opaque to standard statistics. Deep learning performs ...
Machine Learning for Predicting Cognitive Diseases: Methods, Data Sources and Risk Factors.
Journal of medical systems
Oct 27, 2018
Machine learning and data mining approaches are being successfully applied to different fields of life sciences for the past 20 years. Medicine is one of the most suitable application domains for these techniques since they help model diagnostic info...
Artificial Intelligence in Radiation Oncology Imaging.
International journal of radiation oncology, biology, physics
Oct 18, 2018
Second branchial cleft anomalies in children: a literature review.
Pediatric surgery international
Sep 24, 2018
Branchial cleft anomalies are the second most common head and neck congenital lesions in children. It may sometimes be a part of branchio-oto-renal (BOR) syndrome, so in patients with branchial cleft anomalies associated with a complaint of auricular...
Sensor, Signal, and Imaging Informatics in 2017.
Yearbook of medical informatics
Aug 29, 2018
OBJECTIVE: To summarize significant contributions to sensor, signal, and imaging informatics literature published in 2017.
A novel fused convolutional neural network for biomedical image classification.
Medical & biological engineering & computing
Jul 12, 2018
With the advent of biomedical imaging technology, the number of captured and stored biomedical images is rapidly increasing day by day in hospitals, imaging laboratories and biomedical institutions. Therefore, more robust biomedical image analysis te...
Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation.
BMC medical informatics and decision making
Jul 6, 2018
BACKGROUND: The use of knowledge models facilitates information retrieval, knowledge base development, and therefore supports new knowledge discovery that ultimately enables decision support applications. Most existing works have employed machine lea...
Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review.
Computer methods and programs in biomedicine
Apr 18, 2018
BACKGROUND AND OBJECTIVE: Diagnosis as the initial step of medical practice, is one of the most important parts of complicated clinical decision making which is usually accompanied with the degree of ambiguity and uncertainty. Since uncertainty is th...
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