Evaluating diagnostic content of AI-generated radiology reports of chest X-rays.

Abstract Radiology reports are of core importance for the communication between the radiologist and clinician. A computer-aided radiology report system can assist radiologists in this task and reduce variation between reports thus facilitating communication with the medical doctor or clinician. Producing a well structured, clear, and clinically well-focused radiology report is essential for high-quality patient diagnosis and care. Despite recent advances in deep learning for image caption generation, this task remains highly challenging in a medical setting. Research has mainly focused on the... Mehr ...

Verfasser: Twan van Laarhoven
Zaheer Babar
Fabio Massimo Zanzotto
Elena Marchiori
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Schlagwörter: Netherlands / Digital Humanities and Cultural Heritage / Knowmad Institut / Artificial Intelligence / Medicine (miscellaneous)
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26811673
Datenquelle: BASE; Originalkatalog
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Link(s) : https://www.openaccessrepository.it/record/82935