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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Breast arterial calcifications (BACs) identified on screening mammograms may help identify women who face a heightened risk of developing cardiovascular disease (CVD), according to a new analysis published in Clinical Imaging.

Younger women with breast arterial calcifications are at markedly higher risk of major cardiovascular events

Currently, there is no standardized reporting requirement related to BACs, and ACR classifies reporting vascular calcifications on breast imaging as optional. 

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AI implementation improves when radiology staff concerns are considered

Although the potential benefits of artificial intelligence are numerous, its implementation is not without headaches for healthcare staffers. 

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Providing chatbots with guideline context significantly improves their imaging recs

With proper prompts and appropriate context, chatbots can play a valuable role in imaging referrals. 

Deep learning denoising produces quality trauma head CT images at 25% of the radiation dose

Denoising algorithm produces quality trauma head CTs at a fraction of the radiation dose

Radiation doses needed for quality head CT scans in trauma settings can be reduced by as much as 75% using DL-based denoising.

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ChatGPT is 'robbing applicants of their voices' in residency applications

The growing use of ChatGPT on residency applications is prompting concerns over how LLMs might affect the authenticity and value of personal statements in the future.

Generative AI reincarnates famous physicists in radiology

Generative AI 'reincarnates' famous physicists in radiology

Since generative AI products first emerged, the models’ capabilities have grown by leaps and bounds. Now, they can seemingly bring renowned scientists from the past back to life. 

Video interview with Debra Monticciolo, MD, on the expansion of DBT and reducing breast imaging recall rates.

Breast tomosynthesis reduces recalls, could soon replace routine 2D mammography

Digital breast tomosythesis now makes up close to 50% of mammography systems in the U.S. "Tomo is going to replace just straight digital mammography simply because of the benefit of fewer recalls," explained Debra L. Monticciolo, MD.

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Many radiologists still unfamiliar with opportunistic screening applications

Although AI implementation in clinical practice has taken flight in recent years, opportunistic screening utilization has been less common.

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Positron partners with Upbeat Cardiology Solutions to improve cardiac PET/CT access

Positron, a New York-based nuclear imaging company, will now provide Upbeat Cardiology Solutions with advanced PET/CT systems and services. 

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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.

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‘A huge win’: CMS significantly increases Medicare payments for cardiac CT

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.