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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Evidence supporting use of radiomics is 'insufficient' and 'weak,' according to new meta-analysis

Although the predictive power of radiomics has been touted as a tool that could improve patient outcomes, the method has a long way to go before it can be reliably introduced into real-world clinical environments.

July 24, 2023
radiology reporting EHR health record CDS AUC

ImpressionGPT, a ChatGPT-based framework, can accurately summarize radiology reports

The program leverages the in-context learning abilities of large language models to generate report summaries using domain-specific, individualized data relative to radiology.

July 17, 2023
Artificial intelligence (AI) model using chest x-rays to evaluate cardiac function

No echocardiography, no problem? AI evaluates cardiac function using chest X-rays

Researchers think their new AI model could be especially helpful in areas where qualified physicians and/or ultrasound technology are in short supply.

July 13, 2023

Natural language processing can limit report discrepancies between AI and radiologists

Journal of the American College of Radiology study details how one radiology department  implemented NLP software to resolve inadvertent discordance between physicians and an AI decision support system.

July 13, 2023
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

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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