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 ...
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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 |
Powered By: | BASE |
Link(s) : | https://www.openaccessrepository.it/record/82935 |