View in EDS

Large-Scale Evaluation of Machine Learning Models in Identifying Follow-Up Recommendations in Radiology Reports.

Saved in:
Bibliographic Details
Title: Large-Scale Evaluation of Machine Learning Models in Identifying Follow-Up Recommendations in Radiology Reports.
Authors: Xiao P; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Yu X; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Ha SM; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Bani A; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Mintz A; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Wang J; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Elbanan M; Department of Radiology, University of Missouri, Columbia, Mo., Mokkarala M; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Mattay G; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Nazeri A; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Kannampallil T; Department of Anesthesiology, Washington University School of Medicine, St Louis, Mo.; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St Louis, Mo., Lai AM; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St Louis, Mo.; Department of Medicine, Washington University School of Medicine, St Louis, Mo., Narra VR; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Marcus DS; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St Louis, Mo.; Department of Medicine, Washington University School of Medicine, St Louis, Mo., Bierhals AJ; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Sotiras A; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110.; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St Louis, Mo.
Source: Radiology [Radiology] 2025 Nov; Vol. 317 (2), pp. e242167.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Radiological Society of North America Country of Publication: United States NLM ID: 0401260 Publication Model: Print Cited Medium: Internet ISSN: 1527-1315 (Electronic) Linking ISSN: 00338419 NLM ISO Abbreviation: Radiology Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1527-1315
DOI:10.1148/radiol.242167