Radiology

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

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Artificial Intelligence and Machine Learning in Nuclear Medicine: Future Perspectives.

Artificial intelligence and machine learning based approaches are increasingly finding their way int...

Sep 2020 33509373
Intelligent Imaging in Nuclear Medicine: the Principles of Artificial Intelligence, Machine Learning and Deep Learning.

The emergence of artificial intelligence (AI) in nuclear medicine has occurred over the last 50 year...

Sep 2020 33509366
Ethical and Legal Challenges of Artificial Intelligence in Nuclear Medicine.

Artificial intelligence (AI) in nuclear medicine has gained significant traction and promises to be ...

Sep 2020 33509368
Efficacy of endoscopic ultrasound with artificial intelligence for the diagnosis of gastrointestinal stromal tumors.

BACKGROUND: Although endoscopic ultrasound (EUS) is reported to be suitable for determining the laye...

Sep 2020 32918102
Cardiac magnetic resonance image segmentation based on convolutional neural network.

OBJECTIVE: In cardiac medical imaging, the extraction and segmentation of the part of interest is th...

Sep 2020 32977180
A review on recent advancements in diagnosis and classification of cancers using artificial intelligence.

Artificial intelligence has illustrated drastic changes in radiology and medical imaging techniques ...

Sep 2020 33854922
Molecular imaging and deep learning analysis of uMUC1 expression in response to chemotherapy in an orthotopic model of ovarian cancer.

Artificial Intelligence (AI) algorithms including deep learning have recently demonstrated remarkabl...

Sep 2020 32913224
Technologic Evolution of Navigation and Robotics in Spine Surgery: A Historical Perspective.

Spine surgery is continuously evolving. The synergy between medical imaging and advances in computat...

Sep 2020 32916361
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.

The CONSORT 2010 statement provides minimum guidelines for reporting randomised trials. Its widespre...

Sep 2020 33328048
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.

The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by p...

Sep 2020 33328049
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension.

The SPIRIT 2013 (The Standard Protocol Items: Recommendations for Interventional Trials) statement a...

Sep 2020 32907797
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.

The CONSORT 2010 statement provides minimum guidelines for reporting randomized trials. Its widespre...

Sep 2020 32908283
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.

The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by p...

Sep 2020 32908284
Scattering Signatures of Normal versus Abnormal Livers with Support Vector Machine Classification.

Fifty years of research on the nature of backscatter from tissues has resulted in a number of promis...

Sep 2020 32917469
Radiomic Model for Distinguishing Dissecting Aneurysms from Complicated Saccular Aneurysms on high-Resolution Magnetic Resonance Imaging.

OBJECTIVE: To build radiomic model in differentiating dissecting aneurysm (DA) from complicated sacc...

Sep 2020 32992167
Value of MR-based radiomics in differentiating uveal melanoma from other intraocular masses in adults.

PURPOSE: To assess the performance of machine learning (ML)-based magnetic resonance imaging (MRI) r...

Sep 2020 32947090
Multi-slice representational learning of convolutional neural network for Alzheimer's disease classification using positron emission tomography.

BACKGROUND: Alzheimer's Disease (AD) is a degenerative brain disorder that often occurs in people ov...

Sep 2020 32894137
Disentangling time series between brain tissues improves fMRI data quality using a time-dependent deep neural network.

Functional MRI (fMRI) is a prominent imaging technique to probe brain function, however, a substanti...

Sep 2020 32898682
Classification of parotid gland tumors by using multimodal MRI and deep learning.

Various MRI sequences have shown their potential to discriminate parotid gland tumors, including but...

Sep 2020 32886955
Comparison of Support Vector Machine, Naïve Bayes and Logistic Regression for Assessing the Necessity for Coronary Angiography.

(1) Background: Coronary angiography is considered to be the most reliable method for the diagnosis ...

Sep 2020 32899733
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