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Radiology

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Understanding Biases and Disparities in Radiology AI Datasets: A Review.

Journal of the American College of Radiology : JACR
Artificial intelligence (AI) continues to show great potential in disease detection and diagnosis on medical imaging with increasingly high accuracy. An important component of AI model creation is dataset development for training, validation, and tes...

Patient Perspectives on Artificial Intelligence in Radiology.

Journal of the American College of Radiology : JACR
There are two major areas for patient engagement in radiology artificial intelligence (AI). One is in the sharing of data for AI development; the second is the use of AI in patient care. In general, individuals support sharing deidentified data if us...

Diagnostic radiology and its future: what do clinicians need and think?

European radiology
OBJECTIVE: To investigate the view of clinicians on diagnostic radiology and its future.

AI tools in Emergency Radiology reading room: a new era of Radiology.

Emergency radiology
Artificial intelligence tools in radiology practices have surged, with modules developed to target specific findings becoming increasingly prevalent and proving valuable in the daily emergency room radiology practice. The number of US Food and Drug A...