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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Radiology AI startup AZmed raises $16M in series A financing

Founded in 2018, the Paris-based company specializes in software that helps providers pinpoint various abnormalities on standard X-rays. 

February 20, 2024
Healthcare M&A, mergers and acquisitions business deal.

Radiology AI developer Deepc acquires Osimis image management platform

The integration brings artificial intelligence to an image management service used for patient care and clinical trials.

February 15, 2024
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RadNet: General radiologists achieve specialist-level performance interpreting mammograms with help from AI

The Los Angeles-based provider and its AI division, DeepHealth, recently assessed the skills of 18 physicians using their custom-built software. 

February 14, 2024
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. 

February 14, 2024
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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

February 9, 2024
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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

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

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

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