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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Collaboration brings AI-driven imaging standards to healthcare organizations

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

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.

Cardiology now has more than 100 FDA cleared AI algorithms

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.

FDA has now cleared 700 AI healthcare algorithms, more than 76% in radiology

Medical imaging makes up 76% of all the FDA-cleared artificial intelligence clinical algorithms used for direct patient care.

RSNA unveils the 10 most cited Radiology studies of 2023

ChatGPT was a popular topic among readers of the Radiological Society of North America's flagship scientific journal. 

Video of Dhruv Mehta explaining the two new Canon AI-enabled CT systems launched at the 2023 RSNA. #CanonMedical #RSNA #RSNA23 #RSNA2023

Canon launches two new AI-based CT systems

The company unveiled its latest computed tomography systems at RSNA 2023, aiming to address staffing shortages and improve image quality. 

shoulder injury examination

AI system able to identify standard plane, segment tissue in ultrasounds of shoulder

The combined-AI system used for this research “demonstrated superior performance compared with similar studies for both functions,” researchers noted.

Video interview with Nina Kottler, MD, MS, associate chief medical officer for clinical AI, Radiology Partners, explains what radiology practices should consider when assessing artificial intelligence (AI) return on investment in an era where there is little reimbursement. #RSNA #RSNA23 #RSNA2023 #HealthAI #AIhealthcare

Artificial intelligence ROI considerations in radiology

Rad Partners' Nina Kottler, MD, explains what practices should consider when assessing artificial intelligence solutions in an era where there is little reimbursement.  
 

Around the web

Positron, a New York-based nuclear imaging company, will now provide Upbeat Cardiology Solutions with advanced PET/CT systems and services. 

The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.

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