How to apply evidence-based practice to the use of artificial intelligence in radiology (EBRAI) using the data algorithm training output (DATO) method.

Journal: The British journal of radiology

PMID: 37086062

Abstract

OBJECTIVE: As the number of radiology artificial intelligence (AI) papers increases, there are new challenges for reviewing the AI literature as well as differences to be aware of, for those familiar with the clinical radiology literature. We aim to introduce a tool to aid in this process.

Authors

Brendan S Kelly

St Vincent's University Hospital, Dublin, Ireland. brendanskelly@me.com.
Conor Judge

Wellcome Trust - HRB, Irish Clinical Academic Training, Dublin, Ireland.
Siobhan Hoare

CHI @ Temple Street, Dublin, Ireland.
Gabrielle Colleran

CHI @ Temple Street, Dublin, Ireland.
Aonghus Lawlor

Insight SFI Centre for Data Analytics, University College Dublin, Dublin, Ireland.
Ronan P Killeen

St Vincent's University Hospital, Dublin, Ireland.

Keywords

Algorithms Artificial Intelligence Evidence-Based Practice Humans Radiologists Radiology

External Resources

View on PubMed Access via DOI PubMed (37086062)

How to apply evidence-based practice to the use of artificial intelligence in radiology (EBRAI) using the data algorithm training output (DATO) method.

Abstract

Authors

Keywords

External Resources

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