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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Could AI algorithms result in racial bias?

Artificial intelligence might be a hot tech topic, but it could also pose ethical risks—namely racial ones—to healthcare, Clinical Innovation + Technology reported this month.

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Machine learning model accurately predicts who would benefit most from mpMRIs

A novel machine learning model could accurately predict which men might benefit most from additional imaging before a prostate biopsy, saving patients both money and discomfort, a new study states.

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Q&A: Keith Dreyer on radiology’s evolving relationship with AI

Few radiologists understand the relationship between radiology and artificial intelligence (AI) quite like Keith Dreyer, DO, PhD, vice chairman and associate professor of radiology at Massachusetts General Hospital in Boston.

New technique uses AI, machine learning for image reconstruction

Researchers have developed a novel technique that reconstructs medical images using artificial intelligence (AI) and machine learning, according to a new study published in Nature. This saves radiologists valuable time and could potentially result in patients being exposed to lower radiation doses.

VR shows promise as learning tool for early-career interventional radiologists

A virtual reality (VR) program designed for early-career interventional radiologists and medical students is being further developed for use in health simulations and medical emergencies, according to a report in the Journal of the American College of Radiology.

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Are European radiologists skeptical about AI? A report from ECR 2018

Artificial intelligence (AI) technologies had a significant presence at the European Society of Radiology’s annual meeting, the European Congress of Radiology (ECR) 2018. According to a new report published by Signify Research, however, the buzz wasn’t as strong as it was at RSNA 2017 in Chicago.

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Radiomic imaging features extracted from digital mammography associated with breast cancer subtypes

Researchers used machine learning techniques to confirm that radiomic imaging features of breast tumors extracted from digital mammography are associated with breast cancer subtypes, according to a new study published in Academic Radiology.

Zebra Medical Vision announces CE approval of AI algorithm for detecting intracranial hemorrhages

Zebra Medical Vision announced this week that its newest algorithm, used to detect intracranial hemorrhages, has received the CE regulatory approval.

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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.

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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.