AI tools in Emergency Radiology reading room: a new era of 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 Administration-cleared radiology-related algorithms...

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Bibliographic Details
Published in:Emergency radiology 2023-10, Vol.30 (5), p.647-657
Main Author: Dundamadappa, Sathish Kumar
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Artificial intelligence
Automation
Calcification
Deep learning
Emergency medical care
Emergency medical services
Emergency Medicine
Hemorrhage
Imaging
Ischemia
Medicine
Medicine & Public Health
Patients
Radiology
Review Article
Stroke
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Summary: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 Administration-cleared radiology-related algorithms has soared from just 10 in early 2017 to over 200 presently. This review will concentrate on the present utilization of AI tools in clinical ER radiology setting, including a brief discussion of the limitations of the technique. As radiologists, it is essential that we embrace this technology, comprehend its constraints, and use it to improve patient care.
ISSN:1438-1435
1070-3004
1438-1435
DOI:10.1007/s10140-023-02154-5