Diagnostic Radiology

AI MSK clinical applications: spine imaging.

Recent investigations have focused on the clinical application of artificial intelligence (AI) for t...

The overview of the deep learning integrated into the medical imaging of liver: a review.

Deep learning (DL) is a recently developed artificial intelligent method that can be integrated into...

Impact of train/test sample regimen on performance estimate stability of machine learning in cardiovascular imaging.

As machine learning research in the field of cardiovascular imaging continues to grow, obtaining rel...

Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization.

Unmasking the decision making process of machine learning models is essential for implementing diagn...

Understanding artificial intelligence based radiology studies: CNN architecture.

Artificial intelligence (AI) in radiology has gained wide interest due to the development of neural ...

Artificial intelligence reporting guidelines: what the pediatric radiologist needs to know.

There has been an exponential rise in artificial intelligence (AI) research in imaging in recent yea...

Graph matching survey for medical imaging: On the way to deep learning.

The interest on graph matching has not stopped growing since the late seventies. The basic idea of g...

Artificial intelligence in tumor subregion analysis based on medical imaging: A review.

Medical imaging is widely used in the diagnosis and treatment of cancer, and artificial intelligence...

Artificial intelligence in medical imaging: implications for patient radiation safety.

Artificial intelligence, including deep learning, is currently revolutionising the field of medical ...

Medical imaging and computational image analysis in COVID-19 diagnosis: A review.

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. Th...

Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Cervical Spine Fractures.

BACKGROUND AND PURPOSE: Artificial intelligence decision support systems are a rapidly growing class...

Deep learning techniques for automated detection of autism spectrum disorder based on thermal imaging.

Children with autism spectrum disorder have impairments in emotional processing which leads to the i...

Comparison of British Thyroid Association, American College of Radiology TIRADS and Artificial Intelligence TIRADS with histological correlation: diagnostic performance for predicting thyroid malignancy and unnecessary fine needle aspiration rate.

OBJECTIVES: To compare diagnostic performance of British Thyroid Association (BTA), American College...

Musculoskeletal trauma and artificial intelligence: current trends and projections.

Musculoskeletal trauma accounts for a significant fraction of emergency department visits and patien...

Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic.

The advancement of technology remained an immersive interest for humankind throughout the past decad...

Artificial intelligence and medical imaging: applications, challenges and solutions.

Artificial intelligence and machine learning for medical imaging: A technology review.

Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence of disrup...

Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy.

PURPOSE: To perform a systematic review on the research on the application of artificial intelligenc...

Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability.

Modeling of hemodynamics and artificial intelligence have great potential to support clinical diagno...

Myocardial Function Imaging in Echocardiography Using Deep Learning.

Deformation imaging in echocardiography has been shown to have better diagnostic and prognostic valu...

Challenges and opportunities for artificial intelligence in oncological imaging.

Imaging plays a key role in oncology, including the diagnosis and detection of cancer, determining c...