Quality Management of Pulmonary Nodule Radiology Reports Based on Natural Language Processing
To investigate the feasibility of automated follow-up recommendations based on findings in radiology reports, this paper proposed a Natural Language Processing model specific for Pulmonary Nodule Radiology Reports. Unstructured findings used to describe pulmonary nodules in 48,091 radiology reports...
Main Authors: | Xiaolu Fei, Pengyu Chen, Lan Wei, Yue Huang, Yi Xin, Jia Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | Bioengineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2306-5354/9/6/244 |
Similar Items
-
Clinical, radiological, and pathological features of minute pulmonary meningothelial-like nodules and diffuse pulmonary meningotheliomatosis
by: Naijian Li, et al.
Published: (2023-07-01) -
Nomogram combining clinical and radiological characteristics for predicting the malignant probability of solitary pulmonary nodules measuring ≤ 2 cm
by: Mengchao Xue, et al.
Published: (2023-09-01) -
Fully automatic summarization of radiology reports using natural language processing with large language models
by: Mizuho Nishio, et al.
Published: (2024-01-01) -
Amyloid nodule and primary pulmonary lymphoma in the same lung: Radiologic-pathologic correlation of a rare combination
by: Andrei Jipa, MD, et al.
Published: (2020-07-01) -
Slowly Growing Pulmonary Glandular Papilloma with Air Bronchogram: A Case Report
by: Taehoon Lim, et al.
Published: (2024-02-01)