Structured reporting of pelvic MRI leads to better treatment planning of uterine leiomyomas
Sign Up to like & getrecommendations! Published in 2018 at "European Radiology"
DOI: 10.1007/s00330-018-5417-z
Abstract: Over the years, the role of the radiologist within the multidisciplinary team has evolved remarkably, with imaging providing crucial information for patient management. Through close collaboration with referring clinicians, most radiology practices now strive for… read more here.
Keywords: medicine; value; structured reporting; radiology ... See more keywords
Evaluation of Audiovisual Reports to Enhance Traditional Emergency Musculoskeletal Radiology Reports
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-019-00261-9
Abstract: Traditional radiology reports are narrative texts that include a description of imaging findings. Recent implementation of advanced reporting software allows for incorporation of annotated key images and hyperlinks directly into text reports, but these tools… read more here.
Keywords: emergency musculoskeletal; radiology; audiovisual reports; emergency ... See more keywords
Automatic Fully-Contextualized Recommendation Extraction from Radiology Reports
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-021-00423-8
Abstract: Recommendations are a key component of radiology reports. Automatic extraction of recommendations would facilitate tasks such as recommendation tracking, quality improvement, and large-scale descriptive studies. Existing report-parsing systems are frequently limited to recommendations for follow-up… read more here.
Keywords: recommendation; radiology; recommendation extraction; fully contextualized ... See more keywords
The use of natural language processing on pediatric diagnostic radiology reports in the electronic health record to identify deep venous thrombosis in children
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Thrombosis and Thrombolysis"
DOI: 10.1007/s11239-017-1532-y
Abstract: Venous thromboembolism (VTE) is a potentially life-threatening condition that includes both deep vein thrombosis (DVT) and pulmonary embolism. We sought to improve detection and reporting of children with a new diagnosis of VTE by applying… read more here.
Keywords: nlp tool; natural language; radiology; language processing ... See more keywords
Natural language processing of radiology reports for the identification of patients with fracture
Sign Up to like & getrecommendations! Published in 2021 at "Archives of Osteoporosis"
DOI: 10.1007/s11657-020-00859-5
Abstract: Summary Text-search software can be used to identify people at risk of re-fracture. The software studied identified a threefold higher number of people with fractures compared with conventional case finding. Automated software could assist fracture… read more here.
Keywords: fracture; fracture liaison; radiology; case finding ... See more keywords
Identifying incidental findings from radiology reports of trauma patients: An evaluation of automated feature representation methods
Sign Up to like & getrecommendations! Published in 2019 at "International journal of medical informatics"
DOI: 10.1016/j.ijmedinf.2019.05.021
Abstract: BACKGROUND Radiologic imaging of trauma patients often uncovers findings that are unrelated to the trauma. These are termed as incidental findings and identifying them in radiology examination reports is necessary for appropriate follow-up. We developed… read more here.
Keywords: radiology reports; radiology; reports trauma; incidental findings ... See more keywords
Automated annotation and classification of BI-RADS assessment from radiology reports
Sign Up to like & getrecommendations! Published in 2017 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2017.04.011
Abstract: The Breast Imaging Reporting and Data System (BI-RADS) was developed to reduce variation in the descriptions of findings. Manual analysis of breast radiology report data is challenging but is necessary for clinical and healthcare quality… read more here.
Keywords: classification; system; radiology; annotation ... See more keywords
Extracting clinical terms from radiology reports with deep learning
Sign Up to like & getrecommendations! Published in 2021 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2021.103729
Abstract: Extracting clinical terms from free-text format radiology reports is a first important step toward their secondary use. However, there is no general consensus on the kind of terms to be extracted. In this paper, we… read more here.
Keywords: clinical terms; deep learning; radiology; model ... See more keywords
Basic Artificial Intelligence Techniques: Natural Language Processing of Radiology Reports.
Sign Up to like & getrecommendations! Published in 2021 at "Radiologic clinics of North America"
DOI: 10.1016/j.rcl.2021.06.003
Abstract: Natural language processing (NLP) is a subfield of computer science and linguistics that can be applied to extract meaningful information from radiology reports. Symbolic NLP is rule based and well suited to problems that can… read more here.
Keywords: natural language; radiology; language processing; basic artificial ... See more keywords
A methodological approach to validate pneumonia encounters from radiology reports using Natural Language Processing (NLP).
Sign Up to like & getrecommendations! Published in 2022 at "Methods of information in medicine"
DOI: 10.1055/a-1817-7008
Abstract: INTRODUCTION Pneumonia is caused by microbes that establish an infectious process in the lungs. The gold standard for pneumonia diagnosis is radiologist-documented pneumonia-related features in radiology notes that are captured in electronic health records in… read more here.
Keywords: radiology; pneumonia; methodological approach; language processing ... See more keywords
Automated deidentification of radiology reports combining transformer and "hide in plain sight" rule-based methods
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocac219
Abstract: OBJECTIVE To develop an automated deidentification pipeline for radiology reports that detect protected health information (PHI) entities and replaces them with realistic surrogates "hiding in plain sight." MATERIALS AND METHODS In this retrospective study, 999… read more here.
Keywords: radiology; deidentification radiology; automated deidentification; plain sight ... See more keywords