Literature DB >> 28325488

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

Tessa S Cook1, Darco Lalevic2, Caroline Sloan3, Seetharam C Chadalavada4, Curtis P Langlotz5, Mitchell D Schnall2, Hanna M Zafar6.   

Abstract

Mesh：

Year:  2017        PMID： 28325488     DOI： 10.1016/j.jacr.2017.01.024

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN： 1546-1440            Impact factor:   5.532


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  4 in total

1.  Improving Quality of Follow-Up Imaging Recommendations in Radiology.

Authors:  Thusitha Mabotuwana; Christopher S Hall; Joel Tieder; Martin L Gunn
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

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

Authors:  Robert Lou; Darco Lalevic; Charles Chambers; Hanna M Zafar; Tessa S Cook
Journal:  J Digit Imaging       Date:  2020-02       Impact factor: 4.056

3.  Determining Follow-Up Imaging Study Using Radiology Reports.

Authors:  Sandeep Dalal; Vadiraj Hombal; Wei-Hung Weng; Gabe Mankovich; Thusitha Mabotuwana; Christopher S Hall; Joseph Fuller; Bruce E Lehnert; Martin L Gunn
Journal:  J Digit Imaging       Date:  2020-02       Impact factor: 4.056

4.  Automated Organ-Level Classification of Free-Text Pathology Reports to Support a Radiology Follow-up Tracking Engine.

Authors:  Jackson M Steinkamp; Charles M Chambers; Darco Lalevic; Hanna M Zafar; Tessa S Cook
Journal:  Radiol Artif Intell       Date:  2019-08-07
  4 in total

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