Diagnostic Radiology

Artificial Intelligence in Diagnostic Imaging: Status Quo, Challenges, and Future Opportunities.

In this review article, the current and future impact of artificial intelligence (AI) technologies o...

Accounting for data variability in multi-institutional distributed deep learning for medical imaging.

OBJECTIVES: Sharing patient data across institutions to train generalizable deep learning models is ...

Beyond the Artificial Intelligence Hype: What Lies Behind the Algorithms and What We Can Achieve.

The field of artificial intelligence (AI) is currently experiencing a period of extensive growth in ...

[Applications of Artificial Intelligence in Musculoskeletal System Imaging].

Artificial intelligence (AI) represents the latest wave of computer revolution and is considered rev...

[Medical imaging professionals and related specialties : a questioning is essential!].

Nowadays, we are facing an overwhelming amount of public announcements concerning the rise of artifi...

3D high resolution generative deep-learning network for fluorescence microscopy imaging.

Microscopic fluorescence imaging serves as a basic tool in many research areas including biology, me...

The AI Era: The Role of Medical Imaging and Radiation Therapy Professionals.

Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification.

While radiologists regularly issue follow-up recommendations, our preliminary research has shown tha...

Artificial Intelligence and Machine Learning in Cardiovascular Imaging.

Cardiovascular disease is the leading cause of mortality in Western countries and leads to a spectru...

[Overview of image-to-image translation by use of deep neural networks: Denoising, super-resolution, modality conversion, and reconstruction in medical imaging].

Deep Learning: A Breakthrough in Medical Imaging.

Deep learning has attracted great attention in the medical imaging community as a promising solution...

Artificial Intelligence in Cardiovascular Imaging.

The number of cardiovascular imaging studies is growing exponentially, and so is the need to improve...

Translational Retinal Imaging.

The diagnosis and treatment of medical retinal disease is now inseparable from retinal imaging in al...

[1. Deep Learning Super-resolution in Medical Imaging: What Is It and How to Use It].

Basics of Deep Learning: A Radiologist's Guide to Understanding Published Radiology Articles on Deep Learning.

Artificial intelligence has been applied to many industries, including medicine. Among the various t...

Financing Artificial Intelligence in Medical Imaging: Show Me the Money.

An Intelligent Future for Medical Imaging: A Market Outlook on Artificial Intelligence for Medical Imaging.

Radiologists today are under increasing work pressure. We surveyed radiologists in the United States...

How the FDA Regulates AI.

Recent years have seen digital technologies increasingly leveraged to multiply conventional imaging ...

Possibility of Deep Learning in Medical Imaging Focusing Improvement of Computed Tomography Image Quality.

Deep learning (DL), part of a broader family of machine learning methods, is based on learning data ...

Diagnostic accuracy of single-source dual-energy computed tomography and ultrasonography for detection of lateral cervical lymph node metastases of papillary thyroid carcinoma.

BACKGROUND: Dual-energy computed tomography (DECT) imaging can generate iodine-based material decomp...

Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks.

Statistics show that the risk of autism spectrum disorder (ASD) is increasing in the world. Early di...