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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Samsung scores FDA clearance for artificial intelligence aid that helps detect lung nodules

Company officials called the Food and Drug Administration determination a "huge milestone" for NeuroLogica, Samsung's healthcare subsidiary. 

Artificial intelligence matches radiologists at predicting patients’ emphysema severity

Outputs from the assessed AI prototypes were robust across different scanners, though larger patients posed challenges, experts wrote in Academic Radiology

breast cancer screening mammography

AI-based mammography triage helps providers dramatically improve interpretation process

California radiologists have seen average turnaround times and flags per exam plummet, with skepticism quickly dissipating, experts wrote in JACR

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Artificial intelligence for LVO stroke detection could save $11M annually, model estimates

Imaging experts performed a hypothetical health technology assessment for their investigation, using a conservative 6% estimated rate of missed diagnoses. 

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AI improves radiologists’ skeletal-age assessment accuracy while reducing interpretation times

Such exams are crucial for determining children’s developmental status but can be time consuming and tedious for physicians, experts wrote in Radiology

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Lab startup specializing in labeling medical images for artificial intelligence raises $15M

Centaur Labs deploys “tens of thousands” of medical students across 140 countries, competing on its smartphone app as they work to label X-ray, CT, MR, and US images for algorithms. 

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Startup aiming to root out misdiagnoses in radiology raises $25M in new funding

New York-based Covera Health said the Series C financing comes by way of private equity firm Insight Partners, with additional contributions from existing investors. 

Nanox

Nanox sees stock slide after FDA finds deficiencies in application for novel imaging system

The Israel-based radiology startup said it plans to respond by the 180-day deadline, but did not indicate whether the rollout of its technology will be postponed. 

Around the web

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

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.