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. 

artificial intelligence cybersecurity cybercrime patient data privacy

Imaging AI adds value to patient data but also puts it at heightened risk

Healthcare AI continues its march into clinical departments as well as imaging activities. In the process, it’s only multiplying break-and-entry points seductive to cybercriminals.

July 28, 2023
probably benign abnormalities on mammogram

Deep learning detects precancerous changes on mammograms

What’s more, the model proved beneficial in a large, diverse cohort that included women with benign breast disease and BRCA mutations.

July 26, 2023
Video of Maddie Jankowski explaining sonographer highlights and trends at the American Society of Echo (ASE) 2023 meeting.

The rise of AI and other key takeaways for sonographers at ASE 2023

Cardiac sonographer Maddie Jankowski, BS, ACS, RDCS, joined us to explore key trends and updates for sonographers from ASE 2023 in National Harbor, Maryland. 

July 25, 2023
#CTA #acuteischemicstroke #AIS #radiomics

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
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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

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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