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. 

AI Imaging Contrast Development

National Science Foundation issues $1M grant to eliminate imaging contrast with AI

Case Western Reserve University researchers hope to make the diagnosis of cancer safer and less expensive.

January 4, 2024
Performing CT-derived fractional flow reserve (CT-FFR) before transcatheter aortic valve replacement (TAVR) improves the accuracy of coronary CT angiography (CCTA) and helps limit unneeded invasive coronary angiography (ICA), according to a new study published in JACC: Cardiovascular Interventions. Heartflow

HeartFlow’s AI-powered CAD offering reaches a significant milestone

The company's trademark offering has now been used to evaluate one quarter of a million patients. 

January 3, 2024
Signify Research Principal Analyst for medical imaging Bhvita Jani explains the recent trends and new technology in CT imaging at RSNA 2023. #RSNA #Medicalimaging #CT #CTA #CCTA #yescct

Trends and advances in CT systems at RSNA 2023

Bhvita Jani, medical imaging principal analyst at Signify Research, discusses the most recent innovations in computed tomography with Radiology Business Digital Editor Dave Fornell. 

January 3, 2024

Mayo Clinic rings in the new year with two AI-powered cancer care initiatives

Two AI developers have announced new agreements with the academic medical center, both related to improving the delivery of oncology services.

January 2, 2024

If AI is the future, radiology needs to look to the cloud

In a recent journal op-ed, experts compared radiology's move to cloud to the shift from film to digital.

December 19, 2023

Collaboration brings AI-driven imaging standards to healthcare organizations

Enlitic and Infinitt North America hope their partnership will inspire new research.

December 18, 2023
Video of Nasir Siddiqui, MD, chair of radiology at Duly Health and Care, explaining how outpatient CT has improv e Duly's ability to serve patients. #GE #RSNA #ESNA23 #RSNA2023

Use of AI-driven CT workflows in outpatient imaging to better serve patients

Nasir Siddiqui, MD, chair of radiology at Duly Health and Care, explains how the suburban Chicago company uses computed tomography to more effectively treat its customers.

December 18, 2023
Example of a totally AI driven echocardiography workflow on the new Siemens Origin ultrasound system unveiled in 2023. The AI did all the work on this screen, taking a 3D echo exam and automatically segmenting the anatomy, contoured all the chambers, found the ideal views to display and then calculated all the measurements in seconds. Photo by Dave Fornell at TCT 2023. 

Cardiology now has more than 100 FDA cleared AI algorithms; experts say that is just the beginning

Cardiology makes up 10% of the 692 market-cleared clinical AI algorithms in the FDA’s latest update on the number of patient-facing AI now commercialized in the U.S. Experts share their thoughts on how it is being used.

December 14, 2023

Around the web

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

"I see, at least for the next decade, this being a SPECT and PET world, not one or the other," explained Tim Bateman, MD.

The FDA-approved technology developed by HeartFlow can predict a patient's long-term risk of target vessel failure as well as more invasive treatments performed inside a cath lab. 

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