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Imaging Informatics

 

Free-text radiology reports can be automatically classified by convolutional neural networks (CNNs) powered by deep-learning algorithms with accuracy that’s equal to or better than that achieved by traditional—and more labor-intensive—natural language processing (NLP) methods.

Researchers in the radiology department at the University of California, San Francisco (UCSF)—led by of Sabrina Ronen, PhD, director of the Brain Research Interest Group (RIG) and professor in the department of radiology and biomedical imaging at UCSF—are in the process of developing new, non-invasive imaging biomarker indicators to address multiple types of cancer, according to a recent UCSF press release

Many radiologists use Twitter and LinkedIn for staying up on matters related to their work. A study published online Nov. 12 in the Journal of the American College of Radiology shows they’d do well to tap, for the same purposes, the social-media platform that’s commonly thought of as a purely personal online space.

A group of German researchers has developed a nuclear medicine test that can detect infections in kidney transplant tissue, according to a study published in Journal of Nuclear Medicine

Members of the online radiology community, take note: Personally tweeting links to articles posted ahead of print in online medical journals doesn’t increase overall pageviews of these articles. It just increases the number of people who find their way to any given “article in press” via Twitter.

 

Recent Headlines

Deep-learning classifier understands free-text radiology reports

Free-text radiology reports can be automatically classified by convolutional neural networks (CNNs) powered by deep-learning algorithms with accuracy that’s equal to or better than that achieved by traditional—and more labor-intensive—natural language processing (NLP) methods.

UCSF researchers develop individualized cancer treatment with biomarkers

Researchers in the radiology department at the University of California, San Francisco (UCSF)—led by of Sabrina Ronen, PhD, director of the Brain Research Interest Group (RIG) and professor in the department of radiology and biomedical imaging at UCSF—are in the process of developing new, non-invasive imaging biomarker indicators to address multiple types of cancer, according to a recent UCSF press release

Radiologists take to Facebook for subspecialized info sharing

Many radiologists use Twitter and LinkedIn for staying up on matters related to their work. A study published online Nov. 12 in the Journal of the American College of Radiology shows they’d do well to tap, for the same purposes, the social-media platform that’s commonly thought of as a purely personal online space.

Combined PET/MRI detects kidney transplant infections

A group of German researchers has developed a nuclear medicine test that can detect infections in kidney transplant tissue, according to a study published in Journal of Nuclear Medicine

Tweeting journal articles merely drives Twitter-driven traffic

Members of the online radiology community, take note: Personally tweeting links to articles posted ahead of print in online medical journals doesn’t increase overall pageviews of these articles. It just increases the number of people who find their way to any given “article in press” via Twitter.

AI accurately tells children’s age from hand x-rays

Stanford researchers have developed a deep-learning neural network model that can determine the bone age of children from a hand radiograph about as accurately as both an expert radiologist and an existing software package that uses a feature-extraction approach and has been cleared for clinical in use in Europe.

Radiology AI vendor to sell use of its algorithms for $1 per scan

A medical AI startup is offering its image-interpretation algorithms for a flat $1 per read.

C. diff infection trail leads straight to a CT scanner

Health informaticists at UC-San Francisco have tracked down the source of many cases of Clostridium difficile infection that had vexed a UCSF hospital. The clues—there for the piecing together in the EMR—led to a CT scanner in the emergency department.

MRE viable imaging option for pediatric obscure gastrointestinal bleeding

Magnetic resonance enterography (MRE) could be the new gold standard for children presenting obscure gastrointestinal bleeding (OGIB). 

Whole-body MRI useful in diagnosing breast cancer during pregnancy

As women diagnosed with breast cancer during pregnancy are presented with limited imaging options, a new study published in The Breast suggests whole-body MRI (WB-MRI) could potentially be the answer to staging concerns.

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