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. 

Missing the mark: CAD systems can create false sense of certainty

Though computer-aided detection (CAD) systems are designed to improve image interpretation, they also can interfere with a visual search and elevate the chances that observers miss stimuli that were unmarked by CAD, according to a study published in the October issue of Academic Radiology.

In the Nick of Time: Communicating Critical Results

In radiology, acquiring the image is only part of the job. Effective communication of image data is key, particularly in urgent cases. Communication of critical radiology results has wide-reaching implications, from patient safety to regulatory compliance.

CT may be best modality to localize abnormal thyroid glands

4D CT provided sufficient presurgical accuracy in the localization of abnormal parathyroid glands in patients with primary hyperthyroidism, according to a study published in the October issue of Radiology. The findings suggest that CT might replace ultrasound and SPECT in this application, which could decrease healthcare costs by eliminating duplicate exams.

Updated CT, iterative reconstruction boosts coronary stent eval

A high-definition CT system equipped with iterative reconstruction software provides more reliable detection of coronary in-stent restenosis compared with an earlier system using filtered back projection, according to a study published online Sept. 11 in Radiology.

Blades named CEO of Louisiana Heart Hospital

The Cardiovascular Care Group in Nashville, Tenn., has named Steve Blades, MPA, to serve as the interim CEO for the Louisiana Heart Hospital in Lacombe, La.

Personalization + prediction

Healthcare, particularly cancer treatment, often works better when physicians have the data needed to personalize patient care. Here, molecular imaging and advanced visualization tools pack a powerful punch.

Pretreatment PET/CT exam may predict breast cancer recurrence

Maximum standardized uptake value of lymph nodes on a pretreatment PET/CT exam may be an independent prognostic factor for breast cancer recurrence among women with invasive ductal carcinoma, according to a study published in the September issue of Journal of Nuclear Medicine.

KDDI, TeraRecon launch 3D imaging system in Japan

KDDI, a Japanese telecommunications operator, and TeraRecon are offering a cloud-based, 3D imaging processing and system in Japan.

Around the web

GE HealthCare designed the new-look Revolution Vibe CT scanner to help hospitals and health systems embrace CCTA and improve overall efficiency.

Clinicians have been using HeartSee to diagnose and treat coronary artery disease since the technology first debuted back in 2018. These latest updates, set to roll out to existing users, are designed to improve diagnostic performance and user access.

The cardiac technologies clinicians use for CVD evaluations have changed significantly in recent years, according to a new analysis of CMS data. While some modalities are on the rise, others are being utilized much less than ever before.