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. 

Stephen Little, MD, discusses trends in echocardiography at ASE 2023. #ASE23 #ASE2023 What is new in cardiac ultrasound.

Back in the spotlight: Exploring echocardiography's revival

American Society of Echocardiography President Stephen Little, MD, says several trends and technologies are coming together at once, leading to renewed interest in echo.

July 10, 2023
Roberto Lang, MD, explains how AI can help novice users get diagnostic quality cardiac echo exams at ASE 2023.#ASE #AI #ASE2023

AI can help novice sonographers deliver optimal echocardiograms

Roberto Lang, MD, has been closely involved with the development of AI technology that helps inexperienced ultrasound users perform high-quality echo exams. "It is an unbelievable thing when you see it working," he said. 

July 6, 2023

Lumbar MRI exam duration cut in half using deep learning-based reconstruction algorithm

And the improved scan times did not come at the expense of image quality but, instead, offered improved signal-to-noise ratio, according to a new study in Skeletal Radiology.

July 3, 2023
James Kirkpatrick, MD, explains the key trends at ASE 2023. #ASE23 #ASE2023

Key takeaways in cardiac ultrasound from ASE 2023

James Kirkpatrick, MD, discussed some of the biggest trends and themes he saw at the American Society of Echocardiography's 2023 annual meeting.

July 3, 2023
ChatGPT large language models radiology health care

Latest version of ChatGPT has potential as a clinical decision support tool

Large language models could have feasibility in the future as clinical support tools that triage patients for imaging services—with additional updates and more training, of course.

June 22, 2023
Artificial intelligence automated measurements on an echocardiogram on the Siemens SyngoDynamics cardiovascular imaging and information solution. AI is helping speed workflows and complete tedious tasks faster and more accurately that humans, allowing sonographers and cardiologists to be more efficient. Photo by Dave Fornell

AI technologies to be featured heavily at ASE 2023

Artificial intelligence will be one of the hottest topics at the upcoming American Society of Echocardiography meeting in National Harbor, Maryland. 

June 21, 2023
artificial intelligence robot evaluates healthcare data. Novo Nordisk announced a new collaboration with Valo Health, a healthcare technology company focused on using artificial intelligence (AI) technology to identify new drug treatments for cardiovascular disease (CVD).

Many medical students believe AI poses a threat to the radiology job market

While radiologists and current trainees are either prepared to or are already embracing artificial intelligence, a significant portion of medical students shy away from radiology because of AI.

June 21, 2023
A figure from the study shows a chest radiograph with an area of consolidation involving right lower lung consistent with pneumonia, as well as right pleural effusion. The deep-learning model predicted risk of 30-day mortality of 9%. Right: Gradient- weighted class activation map shows that model prediction was influenced by separate area of image corresponding with heart and liver (yellow and light blue colors). Patient’s CURB-65 score was 4. Patient recovered from pneumonia and remained alive. AJR Image

Deep learning predicts pneumonia mortality on chest X-rays

AI was able to predict 30-day mortality risk predictions more accurately that the current risk assessment.

June 19, 2023

Around the web

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.

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

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

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