Diagnostic Radiology

Causal Associations Among Diseases and Imaging Findings in Radiology Reports.

This study explored the ability to identify causal relationships between diseases and imaging findin...

Scaling AI Projects for Radiology - Causes and Consequences.

Artificial intelligence (AI) for radiology has the potential to handle an ever-increasing volume of ...

Single-shot hyperspectral imaging based on dual attention neural network with multi-modal learning.

Hyperspectral imaging is being extensively investigated owing to its promising future in critical ap...

Quality use of artificial intelligence in medical imaging: What do radiologists need to know?

The application of artificial intelligence, and in particular machine learning, to the practice of r...

[Promoting the application of federated learning in medical imaging artificial intelligence].

Medical image-based artificial intelligence (AI) systems have shown great potential in assisting dis...

Artificial Intellgence in the Era of Precision Oncological Imaging.

Rapid-paced development and adaptability of artificial intelligence algorithms have secured their al...

Evolution of New Era in Medical Imaging and Healthcare Sector Using Machine Learning Concepts.

Evidence-Based Artificial Intelligence in Medical Imaging.

Artificial intelligence (AI) in medical imaging is in its infancy. However, ongoing advances in hard...

Artificial Intelligence and Positron Emission Tomography Imaging Workflow:: Technologists' Perspective.

Artificial intelligence (AI) can enhance the efficiency of medical imaging quality control and clini...

Trustworthy Artificial Intelligence in Medical Imaging.

Trust in artificial intelligence (AI) by society and the development of trustworthy AI systems and e...

Effective End-to-End Deep Learning Process in Medical Imaging Using Independent Task Learning: Application for Diagnosis of Maxillary Sinusitis.

PURPOSE: This study aimed to propose an effective end-to-end process in medical imaging using an ind...

Phase2Phase: Respiratory Motion-Resolved Reconstruction of Free-Breathing Magnetic Resonance Imaging Using Deep Learning Without a Ground Truth for Improved Liver Imaging.

OBJECTIVES: Respiratory binning of free-breathing magnetic resonance imaging data reduces motion blu...

Future Directions in Artificial Intelligence.

No one knows what the paradigm shift of artificial intelligence will bring to medical imaging. In th...

Clinical Artificial Intelligence Applications in Radiology: Neuro.

Radiologists have been at the forefront of the digitization process in medicine. Artificial intellig...

ARTIFICIAL INTELLIGENCE AND DEEP LEARNING IN DIAGNOSTIC RADIOLOGY-IS THIS THE NEXT PHASE OF SCIENTIFIC AND TECHNOLOGICAL DEVELOPMENT?

This paper is concerned with the role of science and technology in helping to create change in socie...

Equitable Implementation of Artificial Intelligence in Medical Imaging: What Can be Learned from Implementation Science?

Artificial intelligence (AI) has been rapidly adopted in various health care domains. Molecular imag...

Radiomics and machine learning applications in rectal cancer: Current update and future perspectives.

The high incidence of rectal cancer in both sexes makes it one of the most common tumors, with signi...

Deep Learning-Based Superresolution Reconstruction for Upper Abdominal Magnetic Resonance Imaging: An Analysis of Image Quality, Diagnostic Confidence, and Lesion Conspicuity.

OBJECTIVES: The aim of this study was to investigate the impact of a deep learning-based superresolu...

Artificial Intelligence in Diagnostic Imaging and Radiation Therapy.

Artificial intelligence (AI) is a rapidly growing profession that shows continued promise for diagno...

Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology.

Tremendous advances in artificial intelligence (AI) in medical image analysis have been achieved in ...

Utility of a Deep-Learning Algorithm to Guide Novices to Acquire Echocardiograms for Limited Diagnostic Use.

IMPORTANCE: Artificial intelligence (AI) has been applied to analysis of medical imaging in recent y...