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 interprets imaging data as well as physicians—but there’s a catch

AI models can interpret medical images with a diagnostic accuracy comparable to that of actual physicians, according to new findings published in The Lancet Digital Health. 

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AI IDs candidates for endovascular thrombectomy

Researchers have developed an AI algorithm that can help identify patients who have suffered a stroke and would benefit from an endovascular thrombectomy.

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ACR, SIIM celebrate winners of AI challenge

The results are in! The American College of Radiology (ACR) and Society for Imaging Informatics in Medicine (SIIM) announced the winners of the groups’ machine learning challenge during SIIM’s Conference on Machine Learning in Medical Imaging in Austin, Texas.

Mount Sinai announces plans for BioMedical Engineering and Imaging Institute

The Mount Sinai Health System in New York City announced Monday, Sept. 23, the creation of its new BioMedical Engineering and Imaging Institute (BMEII).

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Fujifilm SonoSite collaborates with AI institute

Fujifilm SonoSite and the Allen Institute of Artificial Intelligence Incubator (AI2 Incubator) have announced a new collaboration focused on using AI to interpret ultrasound examinations.  

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Subtle Medical receives $1.6M grant to limit gadolinium use with AI

Subtle Medical has received a grant for up to $1.6 million from the National Institutes of Health (NIH) to develop an AI solution, SubtleGAD, that could reduce the amount of gadolinium used during MRI scans.

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ASTRO 2019: AI predicts when patients will experience radiation-related side effects

AI can predict when patients undergoing radiation treatment for head and neck cancer may lose significant weight or require a feeding tube, according to findings presented at the 2019 annual meeting of the American Society for Radiation Oncology (ASTRO).

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RSNA kicks off annual AI challenge

RSNA has officially launched its third annual AI competition, the RSNA Intracranial Hemorrhage Detection and Classification Challenge.

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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.