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.

AI improves CT assessments, boosts care for real-world heart patients
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.
Natural language processing spots reporting gaps, racial bias
Finding such discrepancies is critical to the continuity of patient care, as medical records and reports are often utilized across multiple providers and facilities.
ChatGPT shows 'significant promise' in guiding contrast-related decisions
This could be especially helpful when timely clinical decisions relative to the use of a contrast agent need to be made.
AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
Even AI struggles to work under stress, study suggests
Apparently, it isn’t just humans who occasionally struggle to work under stress. According to a recent study, the performance of AI flounders, too.

RSNA announces winners of abdominal trauma AI challenge

The Radiological Society of North America's latest contest focused on the detection and classification of injuries in the abdomen.

November 22, 2023

artificial intelligence AI deep learning ChatGPT OpenAI Microsoft Google

AI able to identify autism in children with 98.5% accuracy

The study's full results are set to be presented at the Radiological Society of North America annual meeting in Chicago later this month.

November 21, 2023

Arineta Cardio Imaging, a healthcare company based in Israel, gained clearance from the U.S. Food and Drug Administration (FDA) for the deep learning image reconstruction (DLIR) technology used in its SpotLight cardiovascular CT scanners. Arineta Cardio Imaging cardiovascular CT scanners AI.

FDA clears AI-powered image reconstruction technology for cardiac CT scanners

The new technology, trained using more than 3 billion data points, was designed to reduce image noise and improve the overall quality of CT scans.

November 20, 2023

artificial intelligence AI heart cardiology

ChatGPT struggles with echocardiography, but still shows potential to help cardiology trainees

ChatGPT may not be quite ready to help prepare trainees for their next echocardiography exam—but it does show promise.

November 16, 2023

Ultrasound cardiac echo patient being scanned with transducer in US2 AI booth ASE 2023.

Survey highlights portable ultrasound adoption trends, challenges

A poll of 150 physicians from vendor Exo reveals that despite the benefits of POCUS systems, adoption remains limited.

November 15, 2023

Lunit AI-powered 3D breast imaging receives FDA clearance

The product allows radiologists to zoom into breast cancer lesions and gather details on potential malignancy.

November 14, 2023

RapidAI receives FDA clearance for subdural hematoma alert module

The product integrates into other modules that detect a variety of emergency conditions affecting the brain, including aneurysm and stroke.

November 13, 2023

ChatGPT large language models radiology health care

AI generates concise, accurate radiology reports that rival humans’

While its sentences varied in length, GPT-4 produced shorter radiology reports without missing the facts.

November 10, 2023

Around the web

Cardiovascular Business

AI improves CT assessments, boosts care for real-world heart patients

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Cardiovascular Business

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.

Radiology Business

Google teams with Bayer to address radiologist burnout via AI

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.