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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Accelerated MRI sequence helps radiologists assess heart disease patients without breath-holding

French imaging experts utilized an investigational, free-breathing, short-axis imaging sequence that deployed deep learning to reconstruct images. 

February 8, 2024
Kyle Souligne, director, enterprise imaging radiology, Agfa Healthcare, discusses technologies like workflow orchestration, AI and cloud that can be used to optimize radiologist’s processes and create efficiency, so they work smarter, not harder. These technologies are playing an increasing role to address the shortage of radiologists.

Optimizing reading efficiency to address radiologist shortages

Agfa Healthcare's Kyle Souligne discusses technologies that can optimize physicians' efficiency to help practices do more with less. 

February 5, 2024
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Radiology AI marketplace CARPL raises $6M in seed funding

Software investor Stellaris Venture Partners led the funding round, with additional contributions from UnitedHealth Group, Bain & Co. and LeapFrog Investments.   

February 2, 2024

HeartFlow’s AI-powered CAD offering receives new CPT code with improved reimbursement rate

For this update to be finalized, the American Medical Association had to determine FFRCT Analysis met certain requirements in terms of its overall impact on patient care. John Farquhar, CEO of HeartFlow, described the news as "a win for everyone involved, most notably patients." 

January 24, 2024
Amy Thompson, Signify Research, explains key observations in the teleradiology market at RSNA 2023, including the in creasing use of cloud and AI.

Cloud and AI are key to teleradiology success in post-COVID resurgence, expert says

Increasing use of cloud and AI are among the trends observed by Amy Thompson, research manager for healthcare IT at the healthcare market analysis firm Signify Research, at RSNA 2023.

January 24, 2024
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Only 21% of healthcare leaders say they’ve implemented AI in medical imaging

However, about 62% of decision-makers at the management and executive level said they plan to do so within the next five years. 

January 24, 2024
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International radiology societies share 4 key considerations when purchasing AI

RSNA, the American College of Radiology and others shared their advice in a new joint statement published Monday across several imaging journals. 

January 23, 2024
Video of Samir Patel, MD, diagnostic radiologist at Radiology Inc., value management program founder and director and a board member of the Beacon Health System, explaining how AI is being implemented in mammography at RSNA 2023.

Real-world implementation of AI in mammography

Samir Patel, MD, radiologist at Radiology Inc., and a board member of the Beacon Health System, explains how AI is being implemented in clinical practice for breast imaging. 

 

January 19, 2024

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.

Using CT to perform coronary artery calcium scoring on symptomatic chest pain patients can deliver significant value, according to a new data published in Radiology

Peninsula Imaging told Mary Raver in 2014 that a cancerous growth was benign. She now has 18 months to live.

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