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. 

Roberto Lang, MD, explained the AI advances in echocardiography that will make it a requirement to have in the coming years at ASE 2023. #ASE #AIhealthcare #ASE2023

Echo labs not using AI will be left behind

Echocardiography expert Roberto Lang, MD, says artificial intelligence will be so important to cardiac ultrasound in the near future that echo labs not using it will be inefficient and less accurate than labs that do use it.

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.

AI artificial intelligence stethoscope doctor

AI model outperforms researchers’ ‘wildest dreams’ with accurate heart attack assessments

The algorithm, developed using data from more than 7,00 chest pain patients, performed better than multiple techniques currently used to evaluate cardiac events. 

Imaging companies join forces to deliver AI-guided echocardiography exams

The collaboration, announced at ASE 2023, was launched in the name of patient access. 

artificial intelligence robot evaluates healthcare data

FDA grants breakthrough designation for new AI model to detect cardiac amyloidosis in ECG results

Anumana, Pfizer and Mayo Clinic all worked together to develop the advanced algorithm. The groups are now targeting full regulatory approval in the U.S., Europe and Japan.

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. 

Part of the graphical results from the Cedars-Sinai AI cardiac risk assessment tool from basic data like the patient’s age, gender, weight, heart rate, and blood pressure, and AI interpretation of cardiac imaging.

New Cedars-Sinai AI tool may predict cardiac events and better assess risk

Cedars-Sinai researchers are developing a deep-learning algorithm to personalize patient cardiac risk predictions in a patient-friendly, graphical report.

artificial intelligence robot evaluates healthcare data

AI organizes heart failure patients into 5 distinct groups, helping cardiologists manage care

Researchers used multiple AI models to evaluate EHR data from more than 322,000 heart failure patients. By identifying these subtypes, the group thinks clinicians could perform better risk assessments and make more informed treatment decisions. 

Around the web

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.