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.

FDA sees promise in new AI model for heart attack detection
Powerful Medical's advanced algorithm was designed to detect STEMI and STEMI-equivalent patterns in a patient’s ECG results.
Opportunistic screening: AI highlights key heart findings in mammography images
Breast artery calcifications are already visible when radiologists review mammograms, but nothing typically happens with them. Researchers aimed to see if AI could help translate those findings into an easy-to-understand cardiovascular risk score.
The revolution is here: AI’s growing role in cardiovascular imaging, interventional cardiology
AI has already made a massive impact on healthcare, especially in the fields of cardiology and radiology. With the FDA clearing more and more algorithms, this trend is only expected to grow as time goes on.
AI could help cardiologists predict bleeding, stroke risks in AFib patients on DOACs
Researchers developed several new AI models that could guide the management of patients with non-valvular atrial fibrillation. There is still some work to do in terms of accuracy, but they already appear to outperform the traditional risk scores being used today.
FDA clears AI-assisted CCTA software that assesses plaques for signs of heart disease
Caristo Diagnostics, an Oxford-based medtech company founded by cardiologists, has gained FDA clearance for its CaRi-Plaque technology.

Pulmonary embolism AI cleared

A Silicon Valley AI shop has been OK’d by the FDA to market software that automatically flags suspected pulmonary embolisms (PEs) and immediately notifies physicians.

VIDEO: Getting cardiologist buy-in on artificial intelligence

Ami Bhatt, MD, the American College of Cardiology (ACC) chief innovation officer and adult congenital heart disease cardiologist at Mass General Hospital, discusses how to get physician acceptance to use artificial intelligence (AI).

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.

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.

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.

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.

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.

Image quality is not an issue for AI model that detects pulmonary embolisms on CT

CTPA is the standard of care for diagnosing PE, but suboptimal scans make it difficult to reach a diagnosis. A new Clinical Imaging study tests the effectiveness of AI when image quality is lacking.

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Artificial Intelligence

FDA sees promise in new AI model for heart attack detection

Opportunistic screening: AI highlights key heart findings in mammography images

The revolution is here: AI’s growing role in cardiovascular imaging, interventional cardiology

AI could help cardiologists predict bleeding, stroke risks in AFib patients on DOACs

FDA clears AI-assisted CCTA software that assesses plaques for signs of heart disease

Around the web