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 algorithm that diagnoses depression from MRI scans gains key regulatory approval

Experts are hopeful the software can bring more objectivity to the diagnostic process by giving providers visual evidence of alterations in brain activity.

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AI-enabled coronary plaque evaluations included in new RBM guidelines

The use of advanced AI software to assess CCTA images continues to gain more momentum.

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Experts create AI system that can accurately diagnose osteoporosis using routine X-rays

Experts are optimistic their tool could help providers identify patients who may be at risk of developing osteoporosis sooner.

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Over 100 AI-enabled radiology algorithms added to FDA's list of approvals

The updated list contains 146 newly approved AI devices and, as usual, algorithms tailored to radiology lead the way. 

Eye-tracking reveals radiologists' reading habits when under the influence of AI

Eye-tracking reveals radiologists' reading habits when utilizing AI support

Rather than test artificial intelligence's ability to detect malignant lesions on imaging, researchers instead recently explored how it impacts radiologists' interpretation processes.

AI completes CAC assessment using routine LDCT scan

AI enables tracking of coronary artery calcium growth on routine lung cancer CT scans

New data suggest increases in CAC scores between lung cancer screenings strongly correlates with the risk of adverse cardiovascular events.

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New AI model outperforms humans at predicting sudden cardiac death

The model spots previously undetected scarring patterns on cardiac MRI scans of patients with hypertrophic cardiomyopathy—a leading cause of sudden cardiac death among young people.

SmartSpeed Precision DL recon software earns FDA clearance

10-second brain MRI scans possible with newly FDA-cleared deep learning reconstruction software

The artificial intelligence-enabled software offers accelerated acquisition times, improved image resolution and one-click workflows for technologists.

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Around the web

Cardiovascular Business
AI-enabled coronary plaque evaluations included in new RBM guidelines

The use of advanced AI software to assess CCTA images continues to gain more momentum.

Cardiovascular Business
ASE shares new recommendations for evaluating LV diastolic function, HFpEF

The new guidelines detail the use of echocardiography to evaluate patients for a variety of conditions.

Health Exec
Major association of physicians presents itself as a go-to alternative vs. the government on vaccine expertise

One of the most formidable societies of medical professionals in the U.S. is going toe-to-toe with Robert F. Kennedy’s HHS over changing vaccination recommendations.