Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

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Machine learning tool IDs emerging bacteria before causing outbreak

Using genomic sequencing to identify mutations in emerging strains of bacteria responsible for or at-risk of causing an outbreak is time consuming and labor-intensive. However, researchers have recently developed a new machine learning tool that can speed up the process.

May 9, 2018
MRI glove

'Glove' prototype captures MRI of joints in action

MRI, for all it can do, has many design limitations—but an NYU School of Medicine team recently created an MRI device that users can slip on like a glove to produce high quality images of moving joints.

May 8, 2018

Machine learning IDs dangerous bacterial strains

A team from the Wellcome Sanger Institute in the United Kingdom, the University of Otago in New Zealand and the Helmholtz Institute for RNA-based Infection Research in Germany has developed a machine learning tool capable of detecting strains of salmonella before they cause bloodstream infections. Findings were published May 8 in PLOS Genetics.

May 8, 2018
Machine Learning

Machine learning beats traditional method in diagnosing autism spectrum disorders

Researchers have found a new method utilizing established data sets and a machine learning algorithm that can outperform traditional methods of diagnosing autism spectrum disorders (ASD) in young children, which could improve accuracy in early diagnosis.

May 8, 2018

Ultrasound helmet may break down health barriers

A group at Vanderbilt University in Nashville is developing a helmet that would use ultrasound brain technology to produce real-time images with novel implications for surgery guidance and robotics, according to a university press release.

May 8, 2018

Imaging helps ID brain areas affected by Fragile X syndrome, aids early intervention

A team of U.S. researchers utilized brain imaging to find problems in white matter connectivity in infants with the genetic neurodevelopment disorder Fragile X syndrome (FXS), pointing to the areas as possible targets for intervention.

May 4, 2018

CT angiography better than standard autopsy for postmortem exams

A team of researchers found that postmortem computed tomography (CT) angiography detects more lesions in a human corpse than a standard CT or autopsy examination, according to a forensic multicenter study published May 1 in Radiology.

May 4, 2018

Closing the gap between advanced breast imaging, underserved populations

The emergence of advanced breast screening technologies has helped lower mortality rates. But some question if existing disparities among vulnerable populations will only get worse, according to a recent study published in the May issue of Academic Radiology.

May 3, 2018