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. 

Politicians who break party lines elicit stronger brain responses, new imaging study reveals

Neuroimaging showed increased activity in two areas involved in cognitive function, researchers explained Monday.

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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.

Call made for more rigorous evaluation of AI aimed at guiding providers, patients

Only two of 34 representative studies evaluating the use of AI for real-world shared clinical decisionmaking from 2014 to 2020 included external validation of the models up for consideration.

Ethics researchers warn of healthcare AI’s potential for widening gaps between haves and have-nots

Healthcare AI is advancing too quickly for its users to fully comprehend the implications of its design, development and applications, according to bioethics specialists who scanned the literature. 

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AI tells radiologists which CTs to read next, slashing wait and turnaround times, but some are skeptical

The tool reprioritizes head CT exams with intracranial hemorrhage, however, a pair of Wisconsin rads have some lingering questions about its choices.

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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. 

Oxford experts: ‘Ethically unacceptable’ to bypass impact testing of AI-powered clinical decision support

AI-based CDS tools that perform well in clinical trials will flounder on the way to clinical practice if they’re not evaluated early and thoroughly for their effects on real-world clinical decisionmaking.