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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artificial intelligence in radiology medical imaging interpretation

Interpretive AI for medical imaging: 5 points of skepticism, idealism

Surveying the landscape of interpretive AI in radiology, two researchers note a yawning gap between great expectations set in the recent past and actual clinical implementations as of spring 2023.

ChatGPT fails board certification exam

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

biden administration artificial intelligence

White House spotlights 3 newly added items on AI to-do list

The Biden Administration has refreshed its efforts to encourage AI innovation while mitigating AI risks.

A comparison of standard 2D mammography (right) and digital breast tomosynthesis (DBT), or 3D mammography (left). The DBT creates a data set of 1 mm slices that the radiologist can look through to see more detail in suspect areas and determine if it dense breast tissue is masking a tumor.

Standalone AI excels at reading digital mammograms, but how does it hold up with DBT exams?

Standalone AI can significantly outperform radiologists' sensitivity in reading digital mammograms and has shown potential in DBT exams as well, but experts are not yet ready to hand over the reins.

Artificial intelligence (AI) analysis from a remote ECG monitor showing the AI generated report on the Philips Cardiologs system, during a demonstration of the technology at Heart Rhythm 2023. Photo by Dave Fornell

AI correctly IDs ventricular arrhythmias in 88% of patients with sustained VT

New research suggests AI could offer physicians a new, state-of-the-art approach to sudden cardiac arrest risk management.

lesion on breast ultrasound

CAD software is especially beneficial for radiologists in rural settings

Judging the software’s utility in rural settings with less experienced readers is important for expanding access to and improving care for patients, authors of a new AJR paper noted.

The proliferation of artificial intelligence (AI) in healthcare includes numerous algorithms for electrophysiology (EP). Jagmeet Singh, MD, Professor of Medicine, Harvard Medical School, and founding director of the Resynchronization and Advanced Cardiac Therapeutics Program and Mass General Hospital, spoke with Cardiovascular Business at Heart Rhythm 2023 to explain how AI is being used in EP. #HRS2023 #HRS #AI

AI gaining popularity in electrophysiology

There are now numerous AI algorithms for electrophysiology. Jagmeet Singh, MD, examined how this advanced technology is being applied.

Federal Trade Commission issues warning to health companies about the misuse of consumer data

The new policy statement warns that any inaccurate or misleading claims to consumers about how their data is collected and used will be considered a violation of the FTC Act.

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