Diagnostic Radiology

[Concepts of medical imaging in the work up and follow-up of cancer : oncological imaging at a glance].

Oncological imaging is a subspecialty of medical imaging and focuses on the workup and the follow-up...

Diagnostic Confidence and Feasibility of a Deep Learning Accelerated HASTE Sequence of the Abdomen in a Single Breath-Hold.

OBJECTIVE: The aim of this study was to evaluate the feasibility of a single breath-hold fast half-F...

Radiomics and deep learning in liver diseases.

Recently, radiomics and deep learning have gained attention as methods for computerized image analys...

[Application of deep learning-based chest CT auxiliary diagnosis system in emergency trauma patients].

To investigate the diagnostic efficacy and potential application value of deep learning-based chest...

Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training.

Artificial intelligence (AI) holds much promise for enabling highly desired imaging diagnostics impr...

Deep learning for in vivo near-infrared imaging.

Detecting fluorescence in the second near-infrared window (NIR-II) up to ∼1,700 nm has emerged as a ...

Artificial intelligence in cancer diagnostics and therapy: current perspectives.

Artificial intelligence (AI) has found its way into every sphere of human life including the field o...

[Medical Imaging System Division Activities and AI Utilization Infrastructure Development].

[Artificial intelligence in oncological radiology : A (p)review].

BACKGROUND: Artificial intelligence (AI) has the potential to fundamentally change medicine within t...

Applying Machine Learning for Integration of Multi-Modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues.

With rapid advances in experimental instruments and protocols, imaging and sequencing data are being...

[Computed tomography or cardiovascular magnetic resonance imaging for diagnosis of chronic coronary syndrome?].

BACKGROUND: Noninvasive imaging modalities are of central importance in the diagnosis of chronic cor...

Adversarial radiomics: the rising of potential risks in medical imaging from adversarial learning.

Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning.

High-content imaging and single-cell genomics are two of the most prominent high-throughput technolo...

Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence.

PURPOSE: Despite tremendous gains from deep learning and the promise of artificial intelligence (AI)...

Workflow Applications of Artificial Intelligence in Radiology and an Overview of Available Tools.

In the past decade, there has been tremendous interest in applying artificial intelligence (AI) to i...

Artificial intelligence in medical imaging: A radiomic guide to precision phenotyping of cardiovascular disease.

Rapid technological advances in non-invasive imaging, coupled with the availability of large data se...

Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints.

Artificial intelligence (AI) is a disruptive technology that involves the use of computerised algori...

Artificial Intelligence and Machine Learning in Radiology: Current State and Considerations for Routine Clinical Implementation.

Although artificial intelligence (AI) has been a focus of medical research for decades, in the last ...

A review on the use of artificial intelligence for medical imaging of the lungs of patients with coronavirus disease 2019.

The results of research on the use of artificial intelligence (AI) for medical imaging of the lungs ...

AI in Medical Imaging Informatics: Current Challenges and Future Directions.

This paper reviews state-of-the-art research solutions across the spectrum of medical imaging inform...

Human gesture recognition under degraded environments using 3D-integral imaging and deep learning.

In this paper, we propose a spatio-temporal human gesture recognition algorithm under degraded condi...