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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Stem cells unharmed by low-dose x-rays

A team of researchers found stem cells remained healthy after exposure to low-dose x-ray radiation, according to a study published in Aging.

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MRI, machine learning may help predict need for postnatal CSF diversion in fetal ventriculomegaly

MRI image analysis and machine learning may be a more accurate and efficient when applied to fetal MRI findings to predict the need for postnatal cerebrospinal fluid (CSF) diversion, according to a retrospective analysis study recently published by JAMA. According the study, researchers were able to develop a prognostic information model that can guide a more efficient candidate selection for potential fetal surgery.

MRI capable of predicting age-related changes in thigh muscles

Researchers explored using MRI to distinguish age-related changes and as a tool to evaluated aging thigh muscles. The study used four quantitative MRI techniques: intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI), diffusion-tensor imaging (DTI), multiecho Dixon water-fat imaging and dynamic contrast material–enhanced (DCE) MR imaging.

AI takes No. 1 in top 5 issues in the healthcare in 2018

Looking into the future of healthcare for 2018, PricewaterhouseCoopers' (PwC) Health Research Institute's annual industry issues report expects “persistent risks and uncertainties," according to a recent article by HealthExec. 

'Safe travels!' What risks are associated with airport security screenings?

Before the gifts are below the tree and the eggnog is in hand, many people will have to catch flights to be back with loved ones. With a week until Christmas, airports across the United States will be hectic for the near future.

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Injectable MRI technique could help detect heart disease

New technology developed at New York’s Binghamton University could change the way clinicians detect heart disease with MRI scans, research published in the journal Colloid and Surfaces B: Biointerfaces suggests.

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fMRI illuminates brain changes in those who show more gratitude

Around this time of year, people are reminded it’s better to give than receive. According to recent research using functional MRI (fMRI) to examine brain function, this is true when it comes to giving thanks. Gratitude may be good for mental health and increase overall feelings of altruism.

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Nano-CT creates microscopic view of biological structures

Computer tomography (CT) has produced stunning images and improved diagnosis and treatment of myriad health complications. A German research team has developed an imaging technique called nano-CT that produces images at resolutions up to 100 nanometers, a marketed improvement from the 500 nm in traditional CT methods.

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Cardiology practices pay $17.7M to settle fraud allegations brought on by whistleblowers

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