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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Deep learning reconstruction cuts prostate MRI acquisition time

And the shorter scan time does not come at the expense of image quality.

AI model spots missed breast cancers on MRI

AI model spots up to 30% of breast cancers missed on MRI

Re-evaluation by the second look algorithm could result in a cancer diagnosis up to one year earlier, especially for high risk disease.

‘A huge win’: CMS significantly increases Medicare payments for cardiac CT

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.

HeartLung Technologies, a Houston-based artificial intelligence (AI) company, has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for new software that assesses chest CT scans for signs of coronary artery disease (CAD) and other potentially fatal heart conditions. The newly cleared offering, AutoChamber, was designed with opportunistic heart evaluations in mind.

FDA clears AI tool that flags signs of heart disease in chest CT scans

The newly cleared offering, AutoChamber, was designed with opportunistic screening in mind. It can evaluate many different kinds of CT images, including those originally gathered to screen patients for lung cancer. 

Wearable ultrasound device tracks muscle activity with great accuracy.

Wearable ultrasound device monitors muscle activity with great precision

The system provides long-term, wireless monitoring of muscle activity and function. Experts are hopeful that it could have utility in multiple healthcare settings. 

Using advanced artificial intelligence (AI) platforms to assess imaging results and quantify coronary plaque buildup can help clinicians predict adverse events in patients with suspected coronary artery disease (CAD), according to late-breaking data presented at TCT 2024 in Washington, D.C.

AI-enabled plaque assessments help cardiologists ID high-risk CAD patients

AI-enabled coronary plaque assessments deliver significant value, according to late-breaking data presented at TCT. These AI platforms have gained considerable momentum in recent months, receiving expanded Medicare coverage in addition to a new Category I CPT code.

AI prostate lesion segmentation algorithm

AI tumor volume estimations could improve prostate cancer treatment strategies

More detailed estimations of lesion size could give providers greater insight into how to best manage a patient’s treatment plan. 

New data highlight long-term benefits of HeartFlow’s AI-based CAD evaluations

HeartFlow kicked off TCT 2024 by sharing new research on the long-term impact of its FFRCT Analysis and Plaque Analysis software.

Around the web

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.

The newly cleared offering, AutoChamber, was designed with opportunistic screening in mind. It can evaluate many different kinds of CT images, including those originally gathered to screen patients for lung cancer. 

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