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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Mobile fluoroscopy machine, DR detector cleared for U.S. sales

The FDA has approved Xoran’s Tron CT system, a full-body fluoroscopy system that is fully mobile, and Viewworks’s Vivix-S F series flat panel detectors for digital radiography.

Should patients—or any of 6 other stakeholder groups—get paid for AI in healthcare?

The commoditization of health data raises questions about who is owed what, and in what proportion, when artificial intelligence renders the data clinically useful and thereby financially profitable.

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AI quality assurance models saving lives and millions in avoided med-mal

Sponsored by vRad

Unrecognized imaging findings are an unfortunate, but undeniable, part of radiology. New advancements in artificial intelligence (AI) and machine learning offer a critical safety net that is improving care and saving lives — as well as avoiding millions of dollars in potential medical malpractice costs.

Fat attenuation index (FAI) CT imaging of coronary artery fat can show inflammation and can help pin-point vulnerable plaques, or show the reversal of inflammation due to drug therapies. The technology is being developed by the vendor Caristo, which has European CE mark and the company is seeking FDA clearance. #SCCT #SCCT2022

VIDEO: New Technologies in Cardiac CT Imaging

Ron Blankstein, MD, Brigham and Women's Hospital, explains recent advances in coronary computed tomography angiography (CCTA) technology. 

Heartbeat Health Caption Health AI echocardiogram

Caption Health, Heartbeat Health partner to deliver AI-powered echocardiograms

Steve Cashman, Caption Health’s CEO, described the partnership as “an ideal coupling of patient-centric services.”

Google, NIH converge on Arkansas over medical AI education, advancement

Data scientists and software engineers at the University of Arkansas have been awarded more than $140,000 by the NIH to educate biomedical researchers on the growing role of AI in big-data analytics.

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Experts concede that 'overly optimistic' AI imaging studies do not translate to clinical practice

An interpretable AI tool that detects COVID-19 on chest radiographs underwhelmed researchers in a recent analysis published in Radiology: Artificial Intelligence. 

$30K up for grabs in new AI challenge from RSNA

Americans suffer more than 1 million fractured vertebrae every year. RSNA’s latest AI competition may help advance precision detection and classification of this unfortunately common source of pain and potential debilitation.