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/radiologist combo improves breast cancer detection, decreases workloads

The new two-part AI system is based on a decision-referral approach and triages mammograms based on quantification of uncertainty.

ovaries ovarian cancer

AI boosts accuracy when discriminating between malignant and benign ovarian tumors on MRI

Out of three trained and tested models that incorporated varying features, the model that combined clinical and radiomics features to predict malignancy exceeded the others in accuracy, precision and sensitivity.

differentiating between malignant and vaccine-related lymphadenopathy

AI model outperforms rads at distinguishing malignant from reactive lymph nodes on US

“Visual techniques are not enough to correctly classify nodes in patients after COVID-19 vaccination,” experts shared in EJR.

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RSNA puts out call for additional 'Cutting-Edge Research' abstracts ahead of annual meeting

These abstracts can be submitted to RSNA starting on July 6, 2022. Submissions will be accepted until August 3 at noon CST. 

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AI software approved for use on adult chest X-rays shows promise for pediatric population

In a sampling of 2,273 chest radiographs of kids aged 2 to 18-years-old the AI-based software achieved diagnostic accuracies ranging from 86% to 96.9% for detecting a myriad of pathologies.

Radiomic model predicts radiotherapy outcomes for patients with brain metastases

The model performed well in assessing treatment responses, but experts explained that one of the most beneficial aspects of their model was that its results are interpretable in a “clinician-friendly way.” 

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Deep learning model boosts trisomy 21 detection on ultrasound images

"Our model is a potential tool to improve the primary trisomy 21 screening based on ultrasonographic images for universal clinical application," experts involved in the study suggested.

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We can now diagnose Alzheimer's using only an MRI and an algorithm

Encouragingly, the MRI scans did not require the latest equipment advances and were conducted on a standard machine that is readily available at most hospitals—a 1.5 Tesla. 

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Around the web

Cardiovascular Business
Positron partners with Upbeat Cardiology Solutions to improve cardiac PET/CT access

Positron, a New York-based nuclear imaging company, will now provide Upbeat Cardiology Solutions with advanced PET/CT systems and services. 

Cardiovascular Business
Global shortage of nuclear imaging isotopes may be over

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.

Cardiovascular Business
‘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.