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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Seeds planted for a needs-based, radiology-specific AI curriculum

There’s no shortage of educational resources for teaching radiologists at all learning levels the principles and particulars of medical AI, but the need for radiology-specific materials is pronounced, according to a study published June 23. 

2 imaging AI vendors teaming up to present 1 point of sale

A healthcare AI platform supplier headquartered in Scotland is collaborating on marketing with a San Francisco-based AI startup co-founded and -led by a radiologist.

Established imaging AI developer reaches $250M funding mark

A top attractor of investors interested in medical imaging AI has drawn in a fresh $110 million.

3D hologram system for guiding precision surgery gets FDA nod

The FDA has approved an augmented reality system that renders 3D holograms from CT images to guide surgeons operating the spine such that they don’t need to toggle their eyes between the patient and a monitor.

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Radiologists can reclaim an hour every day with AI assistance

The AI software assisted in various tasks, such as segmenting, labeling and measuring normal structures, providing an automated analysis of pulmonary, cardiac and musculoskeletal findings.

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Ultrasound-embeddable AI sharp at diagnosing clogged carotid arteries

Testing AI’s ability to detect carotid artery disease on ultrasound, U.K. researchers have found their algorithm achieved 90% accuracy, along with 87% sensitivity and 82% specificity, at the task.

Image-based data commons enjoying fast growth thanks to RSNA, ACR, other contributing orgs

A multi-institutional image-data repository launched to support AI-based research into COVID-19 has been the beneficiary of more than 30,000 anonymized imaging files from the Radiological Society of North America alone.

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‘You Only Look Once’ helps detect, classify lesions on deceptively normal screening mammograms

Researchers have combined three emerging technologies to detect and classify breast cancers found in follow-up imaging of women whose recent screening mammography was deemed normal.

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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.