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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Fitbit’s new algorithm for identifying signs of atrial fibrillation (AFib) has been cleared by the FDA. The photoplethysmography (PPG) algorithm was designed to passively evaluate a user’s heart rhythm while they are still or sleeping.

Fitbit’s latest AFib algorithm receives FDA clearance, will be available ‘soon’

The new algorithm was designed to evaluate a user's heart rhythm while they are still or even sleeping. 

April 12, 2022
Fitbit Afib app wearable

Smartwatch app accurately detects atrial fibrillation in large Chinese study

A Chinese study of 2.8 million participants found that 94% of users flagged for AFib indeed have the heart rhythm disorder.

April 11, 2022
Los Angeles, California

Australian tech company opens new US office, eyes FDA approval for AI CAD solution

The company's flagship offering uses AI to evaluate 3D images of a patient's heart for signs of atherosclerotic plaque.

April 8, 2022
CT pancreas diabetes.jpg

AI model able to ID early signs of type 2 diabetes on imaging results

The authors hope their findings could lead to earlier diagnoses and improvements in patient care. 

April 5, 2022
As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms needs to undergo quality assurance (QA) reviews. How to validate radiology AI? How can you validate medical imaging AI?

AI distinguishes between a heart attack and takotsubo syndrome more accurately than cardiologists

The advanced AI model outperformed a team of cardiologists, delivering a better AUC and overall accuracy. 

March 30, 2022

AI-powered ECG analysis could boost care for patients with hypertrophic cardiomyopathy

Advanced algorithms can pick up on key details in a 12-lead ECG that human readers are unable to see. 

March 11, 2022
EHRA 2022, the yearly get-together hosted by the European Heart Rhythm Association (EHRA), is scheduled for April 3-5 at the Bella Center in Copenhagen, Denmark. European Society of Cardiology

AFib, AI and heart-healthy diets: European Society of Cardiology previews EHRA 2022

The European Heart Rhythm Association's annual conference is headed to Denmark. 

March 11, 2022

Automated CT scoring system accurately predicts prognosis in stroke patients

The study used non-contrast CT and CT perfusion imaging to analyze agreement between an automated reader and human radiologists with differing experience levels.

February 18, 2022
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Around the web

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.

Radiology Business
What does radiology have to do with climate change?

Kate Hanneman, MD, explains why many vendors and hospitals want to lower radiology's impact on the environment. "Taking steps to reduce the carbon footprint in healthcare isn’t just an opportunity," she said. "It’s also a responsibility."

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