Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 78


Automated classification of limb fractures from free-text radiology reports using a clinician-informed gazetteer methodology.

Wagholikar A, Zuccon G, Nguyen A, Chu K, Martin S, Lai K, Greenslade J.

Australas Med J. 2013 May 30;6(5):301-7. doi: 10.4066/AMJ.2013.1651. Print 2013.


Automatic Classification of Free-Text Radiology Reports to Identify Limb Fractures using Machine Learning and the SNOMED CT Ontology.

Zuccon G, Wagholikar AS, Nguyen AN, Butt L, Chu K, Martin S, Greenslade J.

AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:300-4. eCollection 2013.


Automated outcome classification of emergency department computed tomography imaging reports.

Yadav K, Sarioglu E, Smith M, Choi HA.

Acad Emerg Med. 2013 Aug;20(8):848-54. doi: 10.1111/acem.12174.


Automated Outcome Classification of Computed Tomography Imaging Reports for Pediatric Traumatic Brain Injury.

Yadav K, Sarioglu E, Choi HA, Cartwright WB 4th, Hinds PS, Chamberlain JM.

Acad Emerg Med. 2016 Feb;23(2):171-8. doi: 10.1111/acem.12859. Epub 2016 Jan 14.


Identification of Long Bone Fractures in Radiology Reports Using Natural Language Processing to support Healthcare Quality Improvement.

Grundmeier RW, Masino AJ, Casper TC, Dean JM, Bell J, Enriquez R, Deakyne S, Chamberlain JM, Alpern ER; Pediatric Emergency Care Applied Research Network.

Appl Clin Inform. 2016 Nov 9;7(4):1051-1068.


Discerning tumor status from unstructured MRI reports--completeness of information in existing reports and utility of automated natural language processing.

Cheng LT, Zheng J, Savova GK, Erickson BJ.

J Digit Imaging. 2010 Apr;23(2):119-32. doi: 10.1007/s10278-009-9215-7. Epub 2009 May 30. Review.


A natural language processing pipeline for pairing measurements uniquely across free-text CT reports.

Sevenster M, Bozeman J, Cowhy A, Trost W.

J Biomed Inform. 2015 Feb;53:36-48. doi: 10.1016/j.jbi.2014.08.015. Epub 2014 Sep 6.


Natural language processing of radiology reports for the detection of thromboembolic diseases and clinically relevant incidental findings.

Pham AD, Névéol A, Lavergne T, Yasunaga D, Clément O, Meyer G, Morello R, Burgun A.

BMC Bioinformatics. 2014 Aug 7;15:266. doi: 10.1186/1471-2105-15-266.


Automated Reconciliation of Radiology Reports and Discharge Summaries.

Koopman B, Zuccon G, Wagholikar A, Chu K, O'Dwyer J, Nguyen A, Keijzers G.

AMIA Annu Symp Proc. 2015 Nov 5;2015:775-84. eCollection 2015.


Natural Language Processing Techniques for Extracting and Categorizing Finding Measurements in Narrative Radiology Reports.

Sevenster M, Buurman J, Liu P, Peters JF, Chang PJ.

Appl Clin Inform. 2015 Sep 30;6(3):600-110. doi: 10.4338/ACI-2014-11-RA-0110. eCollection 2015.


Automated classification of radiology reports to facilitate retrospective study in radiology.

Zhou Y, Amundson PK, Yu F, Kessler MM, Benzinger TL, Wippold FJ.

J Digit Imaging. 2014 Dec;27(6):730-6. doi: 10.1007/s10278-014-9708-x.


Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository.

Hassanpour S, Langlotz CP.

J Digit Imaging. 2016 Feb;29(1):59-62. doi: 10.1007/s10278-015-9823-3.


[Health technology assessment report: Computer-assisted Pap test for cervical cancer screening].

Della Palma P, Moresco L, Giorgi Rossi P.

Epidemiol Prev. 2012 Sep-Oct;36(5 Suppl 3):e1-43. Italian.


Natural Language Processing in Radiology: A Systematic Review.

Pons E, Braun LM, Hunink MG, Kors JA.

Radiology. 2016 May;279(2):329-43. doi: 10.1148/radiol.16142770. Review.


Using natural language processing to identify problem usage of prescription opioids.

Carrell DS, Cronkite D, Palmer RE, Saunders K, Gross DE, Masters ET, Hylan TR, Von Korff M.

Int J Med Inform. 2015 Dec;84(12):1057-64. doi: 10.1016/j.ijmedinf.2015.09.002. Epub 2015 Sep 25.


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

Hassanpour S, Bay G, Langlotz CP.

J Digit Imaging. 2017 Jun;30(3):314-322. doi: 10.1007/s10278-016-9931-8.


Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department.

Ni Y, Kennebeck S, Dexheimer JW, McAneney CM, Tang H, Lingren T, Li Q, Zhai H, Solti I.

J Am Med Inform Assoc. 2015 Jan;22(1):166-78. doi: 10.1136/amiajnl-2014-002887. Epub 2014 Jul 16.


A comparison of two approaches to text processing: facilitating chart reviews of radiology reports in electronic medical records.

Womack JA, Scotch M, Gibert C, Chapman W, Yin M, Justice AC, Brandt C.

Perspect Health Inf Manag. 2010 Oct 1;7:1a.


Developing and evaluating an automated appendicitis risk stratification algorithm for pediatric patients in the emergency department.

Deleger L, Brodzinski H, Zhai H, Li Q, Lingren T, Kirkendall ES, Alessandrini E, Solti I.

J Am Med Inform Assoc. 2013 Dec;20(e2):e212-20. doi: 10.1136/amiajnl-2013-001962. Epub 2013 Oct 15.

Supplemental Content

Support Center