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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How AI could prevent unnecessary testing in patients with chest pain

An artificial intelligence “super brain” could help eliminate unnecessary diagnostic testing in patients who present with stable chest pain, according to a recent study, potentially saving physicians and patients significant time and money.

Ebit (Esaote Group) and DiA Imaging Analysis have partnered offering Advanced AI-based Cardiac Ultrasound Analysis

BE'ER SHEVA, Israel — Genoa, Italy — DiA Imaging Analysis, a leading provider of artificial intelligence (AI)-powered ultrasound analysis tools, announced today that it has partnered with the Italian healthcare IT company Ebit (Esaote Group), to offer DiA’s LVivo Cardiac Toolbox as an integrated part of Ebit's SUITESTENSA CVIS (Cardiovascular Information System) PACS.

Aidoc announces CE mark for the first AI-based workflow tool for Pulmonary Embolism

Aidoc’s solution for flagging and prioritizing pulmonary embolisms is now commercially available in Europe

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App uses AI to forecast hypoglycemic events in diabetics

A new feature for a personal diabetes management application leverages AI to predict the likelihood of a user experiencing a hypoglycemic event in the next one to four hours.

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Cardiologists, AI Needs You

Do you remember the anticipation around renal denervation? And then the ACC.14 presentation of the SYMPLICITY HTN-3 results, where the excitement about a new way to treat resistant hypertension seemed to crash?

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‘Only the beginning’: AI algorithm shows promise for predicting CVD on a budget

A machine learning tool developed by researchers at Michigan State University can accurately predict an individual’s height within an inch and may offer more precise CVD and cancer risk assessment in the future, according to a report featured this month in Genetics.

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‘Smart sheath’ uses AI to detect bleeds during endovascular procedures

A New Jersey hospital is testing an artificial intelligence (AI) device designed to alert clinicians to bleeding episodes during endovascular procedures.

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Novel AI algorithm beats cardiologists' models in predicting heart disease mortality

A machine learning model developed by scientists at the Francis Crick Institute in London can more accurately predict risk of death in patients with heart disease than leading models designed by medical experts, according to a study published in PLOS One.

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Around the web

Health Imaging
Use of AI opportunistic screening in CT for cardiovascular disease

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

Health Imaging
New imaging protocols proposed to curb rise of cardiovascular infections

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