Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

Example of an automated artificial intelligence (AI) assessment of soft coronary plaque from a CT scan from the vendor Cleerly. The AI gives a very detailed report of all the plaque in all the coronary vessels. Some cardiology experts believe this may be the way of the future in screening patients for early coronary disease and monitoring the impact of prevention efforts such as statins to determine if more aggressive treatments are needed.

Medicare administrative contractors approve coverage of AI-enabled quantitative CT

Four of the seven Medicare Administrative Contractors (MACs) announced they will now cover artificial intelligence-enabled quantitative coronary tomography (AI-QCT) and coronary plaque analysis (AI-CPA). 

MedCognetics CogNet AI-MT technology is the first embedded AI cancer detection system built into the mammography system to eliminate eliminates latency and delivering immediate, high-quality image analysis and can help prioritize exams in the worklist

AI loaded onto mammography systems can flag possible cancers in real time to speed workflows

A new AI solution offers complete mammography analysis on the imaging system, in the radiology workflow, to reduce the wait time for results. 

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Bilingual people have more efficient brains, imaging study shows

Researchers examined the brains of bilingual and monolingual people using fMRI, only to find improved communication between isolated regions in those who learn a second language at a young age.

Ron Blankstein, MD, Brigham and Womens Hospital, explains a study using AI opportunistic screening in non-cardiac CT scans looking for coronary artery disease.

Use of AI opportunistic screening in CT for cardiovascular disease

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

Video of Jamshid Maddahi, MD, UCLA, explaining why flurpiridaz will change cardiac imaging and increase the adoption of PET cardiac imaging.

A closer look at how FDA's flurpiridaz approval will impact nuclear cardiology

The newly approved PET radiotracer is expected to improve patient care significantly. “We have been able to reach the pinnacle of myocardial perfusion imaging with flurpiridaz," one expert said.

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Prioritizing mammogram reads based on breast density improves radiologist performance

Amid staffing shortages and rising imaging volumes, practices are seeking ways to increase efficiency, and Dutch scientists may have found a solution. 

Siemens Healthineers

Siemens Healthineers signs imaging value partnership worth over $60M

University Hospital Nantes in France will replace existing equipment with 9 new CT scanners and 6 MRI machines, among other upgrades in the 12-year contract. 

long covid brainstem damage

Ultra-high field MRI implicates long COVID in brainstem damage

Researchers have used 7T MRI to demonstrate that former COVID-19 inpatients are susceptible to persistent brainstem abnormalities associated with long-haul COVID symptoms.