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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Imaging patients are concerned—but optimistic—about AI

Radiology patients are confident artificial intelligence will improve healthcare workflow and efficiency, but they’re skeptical of the tech itself and remain unsure of how AI will factor into the patient experience, according to a study published online March 14 in the Journal of the American College of Radiology.

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MRI study finds men, ‘blushing individuals’ more sensitive to alcohol

On scans from several different MRI techniques, regular alcohol consumption correlates with regional changes in the brain as well as with various cognitive abilities. And those most sensitive to alcohol’s viewable and observable effects are men and individuals whose faces blush upon intake.

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Physicians, medical students like learning radiology via online ‘Second Life’

Family physicians as well as medical students appreciate the opportunity to bone up on radiology via online classrooms using the popular Second Life platform. And while doctors tend to immerse themselves in the process with somewhat lower intensity, all seem to readily take to radiology training with avatars and other features of the virtual world. 

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A majority of AI studies don’t adequately validate methods

Authors of the research, published in the Korean Journal of Radiology, analyzed 516 published studies and found only six percent (31 studies) externally validated their AI.

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Kinematic 4D-CT may help diagnose subtalar joint pain

Kinematic quantitative 4D CT can help differentiate patients with subtalar joint stiffness and chronic ankle instability, reported authors of a March 5 study published in the European Journal of Radiology. The technique may better personalize care for patients with ankle joint pain.

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AI challenges radiologists at detecting breast cancer

An AI approach developed by Dutch researchers performed similarly to radiologists at detecting breast cancer, according to a multi-center, multi-dataset study published March 5 in the Journal of the National Cancer Institute.

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4D CT accurate for preoperative parathyroid imaging

The research team also found combining 4D CT and technetium-99m sestamibi SPECT/CT did not improve diagnostic performance compared to 4D CT alone.

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Imaging techniques provide insight into speech development

Individual language is significantly impacted by what we hear, and a team of researchers from New York University used various imaging methods to determine that our brain’s pathways play a central role in speech development.

Around the web

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The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.