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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Intermountain to track, share rad exposure

Intermountain Healthcare plans to track patients’ radiation exposure and share it via electronic health record, the Wall Street Journal reported May 21. The data may help reduce unnecessary exams, according to the article. Read more at the link below.

Inside Moore Medical Center

As the massive F5 tornado struck Moore, Ok., the town and its hospital were devastated. NPR visited Moore Medical Center to learn more about how staff and patients weathered the storm. Read more below.

Monitors Inc. Now Offering Complete Line of Sony High-Resolution Diagnostic Displays

The newest diagnostic medical imaging monitors for radiology – Sony’s LMD-DM series -- are now available from Monitors Inc.  Covering every modality including CR/DR, CT, MRI, PACS, US NM, and full-field digital mammography (FFDM) studies, the displays are 510(k) cleared for diagnostic use and come with a 5-year “Hot Swap” warranty.

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Prehospital stroke management key to timely treatment

Although thrombolysis with alteplase is an effective therapy for ischemic stroke, few patients arrive at the hospital in the three to 4.5 hour time window required for use. Improved prehospital processes are essential to offering the therapy to additional patients with stroke, according to a review published in the June issue of Lancet Neurology.

Extracolonic findings on CTC represent mixed bag

Indeterminate renal masses detected on CT colonography (CTC) warrant follow-up as they have a one-in-five chance of malignancy, according a review of research of extracolonic findings on CTC published in the June issue of Academic Radiology.

Why is giving patients control of their medical images a good practice?

Online access to medical imaging information makes it convenient and practical for patients to share results of exams with specialists and sub-specialists for second opinion and consultation.

River Ranch Radiology and Affiliates Use eRAD RIS to Achieve Attestation for Stage 1 Meaningful Use

Using eRAD's Radiology Information System (RIS), River Ranch Radiology and affiliate Sendero Imaging and Treatment Center (RRR), a full-service imaging practice with sites across Central and South Texas, has successfully completed attestation for federal Stage 1 Meaningful Use.

Automated perfusion lesion outlining accurately speeds stroke assessment

An algorithm for automated identification of hypoperfused tissue in acute stroke patients has been shown to agree well with manually defined lesions and is superior to standard threshold approaches of labeling hypoperfused tissue, according to a study published online May 17 in Radiology.

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Around the web

Cardiovascular Business
GE HealthCare launches new cardiac CT scanner with advanced AI capabilities

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

Cardiovascular Business
Bracco updates HeartSee coronary flow capacity software with new diagnostic features

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.

Cardiovascular Business
Key trends in diagnostic heart testing: CT on the rise as some traditional techniques fall out of favor

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.