Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification

Deep Learning to Classify Radiology Free-Text Reports

(2018) Matthew C. Chen et al.   RADIOLOGY

Quantitative Analysis of Uncertainty in Medical Reporting: Creating a Standardized and Objective Methodology

(2017) Bruce I. Reiner   JOURNAL OF DIGITAL IMAGING

Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing

(2017) Saeed Hassanpour et al.   JOURNAL OF DIGITAL IMAGING

Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports

(2017) Po-Hao Chen et al.   JOURNAL OF DIGITAL IMAGING

Implementation of an Automated Radiology Recommendation-Tracking Engine for Abdominal Imaging Findings of Possible Cancer

(2017) Tessa S. Cook et al.   Journal of the American College of Radiology

Natural Language Processing in Radiology: A Systematic Review

(2016) Ewoud Pons et al.   RADIOLOGY

Code Abdomen: An Assessment Coding Scheme for Abdominal Imaging Findings Possibly Representing Cancer

(2015) Hanna M. Zafar et al.   Journal of the American College of Radiology

Automated Detection Using Natural Language Processing of Radiologists Recommendations for Additional Imaging of Incidental Findings

(2013) Sayon Dutta et al.   ANNALS OF EMERGENCY MEDICINE

Semi-supervised clinical text classification with Laplacian SVMs: An application to cancer case management

(2013) Vijay Garla et al.   JOURNAL OF BIOMEDICAL INFORMATICS

A text processing pipeline to extract recommendations from radiology reports

(2013) Meliha Yetisgen-Yildiz et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Named entity recognition of follow-up and time information in 20 000 radiology reports

(2012) Yan Xu et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Structured Radiology Reporting: Are We There Yet?

(2009) Curtis P. Langlotz   RADIOLOGY