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. 

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AI model slashes cerebral aneurysm interpretation times

Similar tools could have great utility in enhancing clinical workflows and improving the diagnosis of cerebral aneurysms, which can be deadly if ruptured.

The iCardio.ai EchoMeasure AI software to automate measurements for cardiac echo imaging. It was FDA cleared in October 2024.

FDA approves AI startup’s new software for echo assessments

iCardio.ai, co-founded by a cardiologist, is part of the Cedars-Sinai Accelerator program. The startup has already announced new partnerships with Viz.ai, Abbott and others in the cardiac health space. 

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Breast cancer only visible via MRI is often less aggressive

The heightened sensitivity of MRI is beneficial in that it allows for earlier detection of cancers, but it also presents challenges for providers tasked with managing patients’ care plans.

Radiomics-based tool predicts fracture risk in COPD patients

Such technology can be leveraged to improve risk assessments without accruing additional expenses for patients or clinicians, potentially filling in gaps where DXA exams fall short.

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.

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Around the web

Cardiovascular Business
Cardiology, radiology specialists debate CCTA’s rise as a go-to imaging modality for CAD

CCTA is being utilized more and more for the diagnosis and management of suspected coronary artery disease. An international group of specialists shared their perspective on this ongoing trend.

Cardiovascular Business
New AI program delivers rapid, accurate echo video assessments

The new technology shows early potential to make a significant impact on imaging workflows and patient care. 

Radiology Business
Key Medicare reimbursement and No Surprises Act updates from RSNA 2024

Richard Heller III, MD, RSNA board member and senior VP of policy at Radiology Partners, offers an overview of policies in Congress that are directly impacting imaging.