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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A study published this week in the Journal of the American College of Cardiology (JACC): Cardiovascular Imaging shows artificial intelligence (AI) algorithms can more rapidly and objectively determine calcium scores in computed tomographic (CT) and positron emission tomographic (PET) images than physicians.[1] The AI also performed well when the images were obtained from very-low-radiation CT attenuation scans. https://doi.org/10.1016/j.jcmg.2022.06.006

Artificial intelligence can objectively determine cardiac calcium scores faster than doctors

A new study shows artificial intelligence (AI) algorithms can more rapidly and objectively determine calcium scores in CT and PET/CT images than physicians.

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Deep learning reconstruction levels playing field between 1.5T and 3T MRI exams

Denoising using deep learning techniques can boost the performance of 1.5T MR brain imaging, resulting in quality comparable or superior to 3T imaging. 

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AI identifies pancreatic cancer frequently missed on CT

Specifically, the computer-aided detection (CAD) tool is capable of identifying lesions that are less than 2 cm.

Improving MRI reconstructions by combining traditional techniques with new ML tools

“We found that if you tune the classical methods, they can perform very well,” an expert involved in the research said.

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Artificial intelligence in radiology: Friend, not foe, say experts concerned about student perceptions of AI

In an effort to perhaps dissuade skepticism among medical students who are on the fence about the future of radiologists, experts in the field recently offered a detailed overview of the use of AI in imaging.

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New AI program aims to expand biomedical and behavioral research

The National Institutes of Health (NIH) has launched a new artificial intelligence (AI) program, backed by $130 million in funding, that aims to expand the use of AI in the biomedical and research communities.

AI for assessing bone fragility gets breakthrough tag

Orthopedic cone-beam CT supplier CurveBeam AI has received the FDA’s breakthrough device designation for software that computes risk of fracture in patients with osteopenia.

AI and entertainment are changing primary education. Can radiologist training be far behind?

If you want to know how radiologists will learn their jobs 10 to 20 years from now, take a look at the ways schoolkids learn their subjects in the 2022-23 school year.  

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