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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Ritu Thamman, MD, FASE, University of Pittsburgh School of Medicine, discusses trends and the technical aspects of strain imaging. #ASE #ASE23 #ASE2023 #strainecho

Strain imaging making a significant impact on the treatment of heart patients

Strain imaging has gained considerable momentum in recent years as an effective tool for getting more value out of heart evaluations. Ritu Thamman, MD, provided an in-depth look at the latest trends in strain echocardiography in an exclusive interview. 

Steven Lester, MD, Mayo Clinic, explains how AI will soon revolutionize the echo lab. Photo by Dave Fornell. #ASE #ASE360

How AI can make echo labs more efficient

Advances in AI technology are expected to give physicians more time to provide high-quality care to their patients.

Arzhang Fallahi, MD, and David Hsi, MD, discussing imaging-based aortic stenosis screening

Q&A: Cardiologists explore the potential impact of a screening program for aortic stenosis

We already screen patients for breast cancer and lung cancer on a regular basis. Why not establish screening programs for aortic stenosis?

Purvi Parwani, MD, director of echocardiography, Loma Linda University Medical Center, explains the trend where heart failure imaging guidelines are driving a rising use of mixed multimodality imaging. #ASE #ASE2023

Multimodality imaging helps cardiologists manage heart failure patients—with an assist from AI

Purvi Parwani, MD, discussed the trend toward multimodality imaging for heart failure management. All modalities have their own weaknesses, she explained. 

Example of the Siemens Origin AI-automated cardiac ultrasound system performing auto contours and measurements after the AI sees what is being imaged and the operator hits the AI button on the console. The system is designed to be an assistant to the operator and knows the next steps in the exams.

Siemens Healthineers unveils 'truly revolutionary' AI-enabled echo system

The new-look system is able to evaluate a situation and anticipate what users may need next.

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AI spots critical heart defects missed by the human eye

“If we can deploy our model on a population-level ECG screening, we would be able to pick up many more of these patients before they have irreversible damage,” a cardiologist behind the new study explained. 

FDA clears 2 new AI models that help with the diagnosis and treatment of arrhythmias

The two algorithms are now commercially available on a price-per-use basis.

Video of Partho Sengupta, MD, explaining two major shifts in AI for echocardiography at ASE 2023. These include GPT and deep learning to automate measurements. #ASE23 #ASE2023 #ASE #AI

2 key reasons the use of AI in echocardiography is growing

Partho Sengupta, MD, an expert on the use of AI in cardiology, says some of the technologies being developed today will fundamentally change how cardiologists and sonographers do their jobs.

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New imaging protocols proposed to curb rise of cardiovascular infections

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