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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Video of Mahadevappa Mahesh, PhD, incoming-AAPM president, professor of radiology and a medical physicist, Johns Hopkins University School of Medicine, explains key trends in imaging physics presented at the Radiological Society of North America (RSNA) 2023 meeting.

6 key trends in medical imaging physics

Mahadevappa Mahesh, PhD, incoming American Association of Physicists in Medicine president, discusses key developments in the specialty. 

artificial intelligence federal regulation

US senators seek heightened scrutiny around AI’s use in healthcare

Several experts testified at the Senate Finance Committee inquiry, including two physicians and Siemens Healthineers' head of digital health

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. 

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. 

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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.   

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." 

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.

artificial intelligence

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. 

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