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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AI literacy program earns stamp of approval from radiology residents

Nearly 97% of residents from the nine programs included in this latest research reported a lack of sufficient exposure to AI during their training.

FDA greenlights AI-powered MR software that could give radiotherapy planning a boost

The U.S. Food and Drug Administration granted Philips 510(k) clearance for its AI-powered MRI platform tailored to the treatment of head and neck cancers. 

AI-generated coronary tree from a patient's CT scan showing a color code of areas of interest for plaque burden from the Cleerly software shown at SCCT 2022.

VIDEO: The role of AI in cardiac imaging

Ed Nicol, MD, president-elect of the Society of Cardiovascular Computed Tomography, provided us with an exclusive look at how AI is expected to change cardiac imaging.

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TI-RADS could help guide thyroid nodule biopsy decisions in children

ACR TI-RADS has previously been shown to lack sensitivity for distinguishing between benign and malignant thyroid lesions in pediatric patients.

MRI radiomics could change the future of breast cancer treatment

Radiomics methodologies could change how care plans are managed for patients with breast cancer by identifying those most likely to benefit from specific treatments.

An example of commercially available artificial intelligence (AI) automated grading of breast density on mammograms from the vendor Densitas..

VIDEO: Role of AI in breast imaging with radiomics, detection of breast density and lesions

Connie Lehman, MD, chief of breast imaging, co-director of the Avon Comprehensive Breast Evaluation Center at Massachusetts General Hospital, discusses how artificial intelligence (AI) is being implemented in breast imaging.

Left, HeartFlow's RoadMap analysis enables cardiac CT readers to identify stenoses in the major coronary arteries. The AI provides visualization and quantification of the location and severity of anatomic narrowings. Right image, HeartFlow's Plaque Analysis AI algorithm automates assessment of coronary plaque characteristics and volume on CCTA exams to greatly reduce the time it takes to manually assess and quantify these features.

HeartFlow gains FDA clearance for 2 new AI-powered imaging assessments

The solutions, Plaque Analysis and RoadMap Analysis, both use coronary CT angiography to provide clinicians with a noninvasive look at patients who present with coronary artery disease and face a heightened myocardial infarction risk.

AI system boosts intracranial hemorrhage detection

“This study implies that future clinical workflows may see AI be used in an adjunct capacity to improve interpretations of CT scans by helping call radiologists' attention to findings that may be overlooked.” 

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.