The investigation explores discrepancies in how vendors represent artificial intelligence or
machine learning (AI/ML) capabilities of FDA-cleared products by comparing marketing …

AIM To examine the current landscape of US Food and Drug Administration (FDA)-approved
artificial intelligence (AI) medical imaging devices and identify trends in clinical validation …

With the advent of artificial intelligence (AI), health care providers in all specialties are
bracing for rapid change [1, 2]. The AI health market is projected to grow from $600 million in …

At present, at one of the author's institutions, artificial intelligence (AI) algorithms have
already evaluated every chest, spine, and brain computed tomography (CT) well before they …

OBJECTIVE. The purpose of this article is to highlight best practices for writing and
reviewing articles on artificial intelligence for medical image analysis. CONCLUSION …

Objective To investigate the view of clinicians on diagnostic radiology and its future.
Methods Corresponding authors who published in the New England Journal of Medicine …

Artificial intelligence holds promise for enhancing radiological imaging analysis and
diagnosis, but this technological shift may also redefine the role of radiologists in clinical …

The FDA is charged with protecting the public health by “ensuring the safety, efficacy, and
security” of a wide range of health care products, including medical devices [1]. The FDA …

There has been an exponential increase in the number of publications and work pertaining
to applications of artificial intelligence (AI) and machine learning (ML) in medicine and in …

Artificial intelligence—the mimicking of human cognition by computers—was once a fable in
science fiction but is becoming reality in medicine. The combination of big data and artificial …