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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AI provides automated second-reader support, catching radiologist misses in chest CT reports

Underreporting of findings on CT exams is relatively common, but a deep learning algorithm showed “superior diagnostic performance” in spotting two particular concerns. 

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American College of Radiology Data Science Institute releases 6 new AI use cases

ACR said the updates pertain to neuroradiology and cover clinical scenarios including white matter lesion tracking in multiple sclerosis patients. 

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AI spots dozens of missed incidental pulmonary embolism diagnoses at one hospital

The investigation was retrospective, but Duke scientists believe their algorithm could potentially aid radiologists in spotting near-misses in their work.

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Prominent imaging groups push for first radiology-specific artificial intelligence CPT code

The Category 3 code proposal would cover AI analysis for the detection of vertebral fractures and could take effect as soon as Jan. 1, 2022. 

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Mass General uses artificial intelligence to bust imaging language barriers during COVID-19 pandemic

RadTranslate is a web app that creates AI-spoken, natural-sounding audio clips, and it's available free of charge for practices struggling to find interpreters.

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RadNet touts AI offshoot’s early success, pinpointing cancer a year earlier than current practice

DeepHealth, a subsidiary of the Los Angeles-based imaging giant, said its novel algorithm demonstrated higher performance than a group of trained breast radiologists. 

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American Board of Radiology will use AI to monitor test takers during new remote exams

ABR said artificial intelligence will help determine which oral and computer-based exams to review more closely for infractions. 

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Deep learning significantly reduces thoracic radiologists’ errors when used as a second reader

The algorithm also demonstrated “excellent” performance in spotting lung cancers missed on chest x-rays, experts wrote in Radiology: Cardiothoracic Imaging. 

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Around the web

Health Imaging
Nearly $800,000 settlement offered to family of man who died during MRI exam

The patient, who was being cared for in the ICU, was not accompanied or monitored by nursing staff during his exam, despite being sedated.

Cardiovascular Business
Global shortage of nuclear imaging isotopes may be over

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.

Cardiovascular Business
‘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.