AIMC Topic: Diagnostic Imaging

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Do Radiographic Assessments of Periodontal Bone Loss Improve with Deep Learning Methods for Enhanced Image Resolution?

Sensors (Basel, Switzerland) Mar 12, 2021
Resolution plays an essential role in oral imaging for periodontal disease assessment. Nevertheless, due to limitations in acquisition tools, a considerable number of oral examinations have low resolution, making the evaluation of this kind of lesion...
Diagnostic Imaging Alveolar Bone Loss Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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To buy or not to buy-evaluating commercial AI solutions in radiology (the ECLAIR guidelines).

European radiology Mar 5, 2021
Artificial intelligence (AI) has made impressive progress over the past few years, including many applications in medical imaging. Numerous commercial solutions based on AI techniques are now available for sale, forcing radiology practices to learn h...
Diagnostic Imaging Radiology Software Radiography Humans Artificial Intelligence
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Use of artificial intelligence in the imaging of sarcopenia: A narrative review of current status and perspectives.

Nutrition (Burbank, Los Angeles County, Calif.) Mar 3, 2021
Sarcopenia is a muscle disease which previously was associated only with aging, but in recent days it has been gaining more attention for its predictive value in a vast range of conditions and its potential link with overall health. Up to this point,...
Humans Artificial Intelligence Sarcopenia Diagnostic Imaging Machine Learning Precision Medicine
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AI applications to medical images: From machine learning to deep learning.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Mar 1, 2021
PURPOSE: Artificial intelligence (AI) models are playing an increasing role in biomedical research and healthcare services. This review focuses on challenges points to be clarified about how to develop AI applications as clinical decision support sys...
Machine Learning Deep Learning Diagnostic Imaging Neural Networks, Computer Artificial Intelligence
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Deep Learning for Biospectroscopy and Biospectral Imaging: State-of-the-Art and Perspectives.

Analytical chemistry Feb 18, 2021
With the advances in instrumentation and sampling techniques, there is an explosive growth of data from molecular and cellular samples. The call to extract more information from the large data sets has greatly challenged the conventional chemometrics...
Diagnostic Imaging Neural Networks, Computer Deep Learning Diagnostic Tests, Routine
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Artificial intelligence: a critical review of current applications in pancreatic imaging.

Japanese journal of radiology Feb 6, 2021
The applications of artificial intelligence (AI), including machine learning and deep learning, in the field of pancreatic disease imaging are rapidly expanding. AI can be used for the detection of pancreatic ductal adenocarcinoma and other pancreati...
Pancreas Humans Pancreatic Diseases Artificial Intelligence Image Interpretation, Computer-Assisted Machine Learning Diagnostic Imaging
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Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation.

IEEE transactions on neural networks and learning systems Feb 4, 2021
A common shortfall of supervised deep learning for medical imaging is the lack of labeled data, which is often expensive and time consuming to collect. This article presents a new semisupervised method for medical image segmentation, where the networ...
Dermatology Optic Disk Diagnostic Imaging Fundus Oculi Supervised Machine Learning Skin Diseases Image Processing, Computer-Assisted Liver Deep Learning Imaging, Three-Dimensional Algorithms Databases, Factual Tomography, X-Ray Computed Reproducibility of Results Neural Networks, Computer Humans Glaucoma
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Artificial Intelligence for Image Interpretation: Point-The Radiologist's Potential Friend.

AJR. American journal of roentgenology Feb 3, 2021
Humans Artificial Intelligence Diagnostic Imaging Radiologists Image Interpretation, Computer-Assisted
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Artificial Intelligence for Image Interpretation: Counterpoint-The Radiologist's Incremental Foe.

AJR. American journal of roentgenology Feb 3, 2021
Image Interpretation, Computer-Assisted Diagnostic Imaging Radiologists Humans Artificial Intelligence
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Interpretation and visualization techniques for deep learning models in medical imaging.

Physics in medicine and biology Feb 2, 2021
Deep learning (DL) approaches to medical image analysis tasks have recently become popular; however, they suffer from a lack of human interpretability critical for both increasing understanding of the methods' operation and enabling clinical translat...
Humans Deep Learning Image Processing, Computer-Assisted Diagnostic Imaging
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