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.

Artificial intelligence can help make breast cancer screening mammography more accurate.

AI-based decision support tool can reduce unnecessary breast biopsies, save millions

Scientists at Houston Methodist Hospital developed the intelligent-augmented breast cancer risk calculator, testing it across a large dataset to produce promising results.

August 11, 2023

background parenchyma enhancement breast MRI

MRI finding linked to heightened cancer risk among women with very dense breasts

A new AI model helped researchers identify a relationship between background parenchyma enhancement on breast MRI exams and breast cancer risk.

August 9, 2023

New-look AI model for imaging results provides its own second opinions

The "dual-view" algorithm is separated into two distinct parts that can learn from one another and catch potential errors.

August 4, 2023

Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.

New scoring systems help grade the accuracy of AI-generated radiology reports

Health systems need to trust that artificial intelligence-based reports are accurate and complete.

August 4, 2023

AI reduces radiologists’ mammography screen-reading workload by 44%

The technology was able to detect about 20% more cancers when compared to standard screening, without impacting false positives.

August 2, 2023

HeartFlow's RoadMap technology where AI reads the image in a first pass to highlight areas of interest with for the radiologist or cardiologist on coronary CT scan. The technology was shown to reduce reading time by 25%.

Three studies show value of AI to speed cardiac CT reads and soft plaque evaluation

AI to help interpret cardiac CT was shown to reduce exam read times to improve workflow efficiency, and improve patient diagnostics with additional information on soft plaques. Data was presented in three HeartFlow AI technology studies at SCCT 2023.

July 31, 2023

Ultrasight's AI to guide echo cardiac ultrasound POCUS exams at ASE 2023. The thumbnail of the chest shows the user how to the position the transducer and where to move or stop for image acquisition. The bar graph shows the quality of the image.

FDA clears new AI to guide point-of-care cardiac ultrasound exams

The FDA approved UltraSight's AI to show ultrasound users how to perform a diagnostic quality cardiac ultrasound exam at the point of care in multiple settings.

July 31, 2023

Big Tech player dives deep into medical imaging with ‘purpose-built’ service

The world’s most popular supplier of cloud services has become a dedicated radiology vendor.

July 31, 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.