Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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Histogram analysis of absolute cerebral blood volume map can distinguish glioblastoma from solitary brain metastasis.

Glioblastoma multiforme (GBM) is difficult to be separated from solitary brain metastasis (sBM) in c...

Oct 2019 31626111
Optical Coherence Tomography Vulnerable Plaque Segmentation Based on Deep Residual U-Net.

Automatic and accurate segmentation of intravascular optical coherence tomography imagery is of grea...

Sep 2019 31601091
Prediction of IDH genotype in gliomas with dynamic susceptibility contrast perfusion MR imaging using an explainable recurrent neural network.

BACKGROUND: The aim of this study was to predict isocitrate dehydrogenase (IDH) genotypes of gliomas...

Sep 2019 31127834
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks.

Magnetic Resonance Fingerprinting (MRF) is an imaging technique acquiring unique time signals for di...

Sep 2019 31483264
Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists.

BACKGROUND: Artificial intelligence (AI) systems performing at radiologist-like levels in the evalua...

Sep 2019 30834436
Artificial Intelligence in Nuclear Medicine.

Despite the great media attention for artificial intelligence (AI), for many health care professiona...

Sep 2019 31481587
Radiomics: Data Are Also Images.

The aim of this review is to provide readers with an update on the state of the art, pitfalls, solut...

Sep 2019 31481588
Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology.

Currently, the use of artificial intelligence (AI) in radiology, particularly machine learning (ML),...

Sep 2019 31492401
The Application of Machine Learning to Quality Improvement Through the Lens of the Radiology Value Network.

Recent advances in machine learning and artificial intelligence offer promising applications to radi...

Sep 2019 31492403
A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence-Powered Ultrasound for Improving Clinical Workflow.

Ultrasound is the most commonly used imaging modality in clinical practice because it is a nonionizi...

Sep 2019 31492410
Maxwell®: An Unsupervised Learning Approach for 5P Medicine.

In the 5P medicine (Personalized, Preventive, Participative, Predictive and Pluri-expert), the gener...

Aug 2019 31438183
Update on thyroid ultrasound: a narrative review from diagnostic criteria to artificial intelligence techniques.

OBJECTIVE: Ultrasound imaging is well known to play an important role in the detection of thyroid di...

Aug 2019 31348028
Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD.

The aim was to determine whether an artificial intelligence (AI)-based, computer-aided detection (CA...

Aug 2019 30963339
Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography.

To determine whether cmAssist™, an artificial intelligence-based computer-aided detection (AI-CAD) a...

Aug 2019 31011956
The Classification of Renal Cancer in 3-Phase CT Images Using a Deep Learning Method.

In this research, we exploit an image-based deep learning framework to distinguish three major subty...

Aug 2019 31098732
Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks.

Machine learning has several potential uses in medical imaging for semantic labeling of images to im...

Aug 2019 31197559
Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning.

Unstructured and semi-structured radiology reports represent an underutilized trove of information f...

Aug 2019 31218554
Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm.

Radiological measurements are reported in free text reports, and it is challenging to extract such m...

Aug 2019 31222557
State-of-the-Art Deep Learning in Cardiovascular Image Analysis.

Cardiovascular imaging is going to change substantially in the next decade, fueled by the deep learn...

Aug 2019 31395244
Impact of Artificial Intelligence on Interventional Cardiology: From Decision-Making Aid to Advanced Interventional Procedure Assistance.

Access to big data analyzed by supercomputers using advanced mathematical algorithms (i.e., deep mac...

Jul 2019 31320024
Automatic extraction of imaging observation and assessment categories from breast magnetic resonance imaging reports with natural language processing.

BACKGROUND: Structured reports are not widely used and thus most reports exist in the form of free t...

Jul 2019 31268905
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