Radiology

Diagnostic Radiology

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

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Application of Artificial Intelligence in Cardiovascular Imaging.

During the last two decades, as computer technology has matured and business scenarios have diversif...

The concept of the invisible radiologist in the era of artificial intelligence.

The radiologists were traditionally working in the background. What upgraded them as physicians duri...

Digital Technology in Diagnostic Breast Pathology and Immunohistochemistry.

Digital technology has been used in the field of diagnostic breast pathology and immunohistochemistr...

Social Asymmetry, Artificial Intelligence and the Medical Imaging Landscape.

Social and health care equity and justice should be prioritized by the mantra of medicine, first do ...

Domain generalization on medical imaging classification using episodic training with task augmentation.

Medical imaging datasets usually exhibit domain shift due to the variations of scanner vendors, imag...

Automation of a Rule-based Workflow to Estimate Age from Brain MR Imaging of Infants and Children Up to 2 Years Old Using Stacked Deep Learning.

PURPOSE: Myelination-related MR signal changes in white matter are helpful for assessing normal deve...

A review of explainable and interpretable AI with applications in COVID-19 imaging.

The development of medical imaging artificial intelligence (AI) systems for evaluating COVID-19 pati...

AI in spotting high-risk characteristics of medical imaging and molecular pathology.

Medical imaging provides a comprehensive perspective and rich information for disease diagnosis. Com...

A Comparison of Natural Language Processing Methods for the Classification of Lumbar Spine Imaging Findings Related to Lower Back Pain.

RATIONALE AND OBJECTIVES: The use of natural language processing (NLP) in radiology provides an oppo...

Automatic Searching and Pruning of Deep Neural Networks for Medical Imaging Diagnostic.

The field of medical imaging diagnostic makes use of a modality of imaging tests, e.g., X-rays, ultr...

Construction and Evaluation of Intelligent Medical Diagnosis Model Based on Integrated Deep Neural Network.

In recent years, as human life expectancy increases, birth rate decreases and health management conc...

Diagnostic utility of artificial intelligence for left ventricular scar identification using cardiac magnetic resonance imaging-A systematic review.

BACKGROUND: Accurate, rapid quantification of ventricular scar using cardiac magnetic resonance imag...

Breast imaging: Beyond the detection.

Breast cancer is a heterogeneous disease nowadays, including different biological subtypes with a va...

Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging.

In current clinical practice, tumor response assessment is usually based on tumor size change on ser...

Diagnostic armamentarium of infectious keratitis: A comprehensive review.

Infectious keratitis (IK) represents the leading cause of corneal blindness worldwide, particularly ...

[Artificial intelligence and medical imaging].

The use of artificial intelligence methods for image recognition is one of the most developed branch...

An Open Medical Platform to Share Source Code and Various Pre-Trained Weights for Models to Use in Deep Learning Research.

Deep learning-based applications have great potential to enhance the quality of medical services. Th...

AI Integration in the Clinical Workflow.

Machine learning and artificial intelligence (AI) algorithms hold significant promise for addressing...

Predicting cancer outcomes with radiomics and artificial intelligence in radiology.

The successful use of artificial intelligence (AI) for diagnostic purposes has prompted the applicat...

Artificial Intelligence Applications in Pediatric Brain Tumor Imaging: A Systematic Review.

OBJECTIVE: Artificial intelligence (AI) has facilitated the analysis of medical imaging given increa...

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