Literature DB >> 35725887

Integrating artificial intelligence and natural language processing for computer-assisted reporting and report understanding in nuclear cardiology.

Ernest V Garcia1.   

Abstract

Natural language processing (NLP) offers many opportunities in Nuclear Cardiology. These opportunities include applications in converting nuclear cardiology imaging reports to digital searchable information that may be used as Big Data for machine learning and registries. Another major NLP application is, with the support of AI, in automatically translating MPI image features directly into nuclear cardiology reports. This review describes the symbiotic relationship between AI and NLP in that NLP is being used to facilitate AI applications and, AI techniques are being used to facilitate NLP. This article reviews the fundamentals of NLP and describes various conventional and AI techniques that have been applied in imaging. Key nuclear cardiology applications are reviewed such as conversion of MPI free-text reports to digital documents as well as direct conversion of MPI images into structured medical reports.
© 2022. The Author(s) under exclusive licence to American Society of Nuclear Cardiology.

Entities:  

Keywords:  Natural language generation; Natural language processing; Natural language understanding; Structured reports

Year:  2022        PMID: 35725887     DOI: 10.1007/s12350-022-02996-5

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN: 1071-3581            Impact factor:   5.952


  8 in total

1.  A software engine to justify the conclusions of an expert system for detecting renal obstruction on 99mTc-MAG3 scans.

Authors:  Ernest V Garcia; Andrew Taylor; Daya Manatunga; Russell Folks
Journal:  J Nucl Med       Date:  2007-03       Impact factor: 10.057

2.  Diagnostic performance of an expert system for the interpretation of myocardial perfusion SPECT studies.

Authors:  E V Garcia; C D Cooke; R D Folks; C A Santana; E G Krawczynska; L De Braal; N F Ezquerra
Journal:  J Nucl Med       Date:  2001-08       Impact factor: 10.057

3.  RENEX: an expert system for the interpretation of 99mTc-MAG3 scans to detect renal obstruction.

Authors:  Ernest V Garcia; Andrew Taylor; Raghuveer Halkar; Russell Folks; Meghna Krishnan; C David Cooke; Eva Dubovsky
Journal:  J Nucl Med       Date:  2006-02       Impact factor: 10.057

4.  Using gated technetium-99m-sestamibi SPECT to characterize fixed myocardial defects as infarct or artifact.

Authors:  E G DePuey; A Rozanski
Journal:  J Nucl Med       Date:  1995-06       Impact factor: 10.057

5.  Deep Learning for Natural Language Processing in Radiology-Fundamentals and a Systematic Review.

Authors:  Vera Sorin; Yiftach Barash; Eli Konen; Eyal Klang
Journal:  J Am Coll Radiol       Date:  2020-01-28       Impact factor: 5.532

Review 6.  Deep learning in generating radiology reports: A survey.

Authors:  Maram Mahmoud A Monshi; Josiah Poon; Vera Chung
Journal:  Artif Intell Med       Date:  2020-05-15       Impact factor: 5.326

7.  Automated abstraction of myocardial perfusion imaging reports using natural language processing.

Authors:  Chengyi Zheng; Benjamin C Sun; Yi-Lin Wu; Maros Ferencik; Ming-Sum Lee; Rita F Redberg; Aniket A Kawatkar; Visanee V Musigdilok; Adam L Sharp
Journal:  J Nucl Cardiol       Date:  2020-11-05       Impact factor: 3.872

  8 in total

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