Literature DB >> 31821024

Artificial intelligence in diagnostic imaging: impact on the radiography profession.

Maryann Hardy1, Hugh Harvey2.   

Abstract

The arrival of artificially intelligent systems into the domain of medical imaging has focused attention and sparked much debate on the role and responsibilities of the radiologist. However, discussion about the impact of such technology on the radiographer role is lacking. This paper discusses the potential impact of artificial intelligence (AI) on the radiography profession by assessing current workflow and cross-mapping potential areas of AI automation such as procedure planning, image acquisition and processing. We also highlight the opportunities that AI brings including enhancing patient-facing care, increased cross-modality education and working, increased technological expertise and expansion of radiographer responsibility into AI-supported image reporting and auditing roles.

Entities:  

Mesh:

Year:  2019        PMID: 31821024      PMCID: PMC7362930          DOI: 10.1259/bjr.20190840

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  45 in total

1.  Re-engineering the soft machine: the impact of developing technology and changing practice on diagnostic radiographer skill requirements.

Authors:  R Price; L Miller; G Payne
Journal:  Health Serv Manage Res       Date:  2000-02

2.  Exposure variations under error conditions in automatic exposure controlled film-screen projection radiography.

Authors:  C Walsh; A Larkin; S Dennan; G O'Reilly
Journal:  Br J Radiol       Date:  2004-11       Impact factor: 3.039

3.  Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success.

Authors:  James H Thrall; Xiang Li; Quanzheng Li; Cinthia Cruz; Synho Do; Keith Dreyer; James Brink
Journal:  J Am Coll Radiol       Date:  2018-02-04       Impact factor: 5.532

4.  FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks.

Authors:  Lingyun Wu; Jie-Zhi Cheng; Shengli Li; Baiying Lei; Tianfu Wang; Dong Ni
Journal:  IEEE Trans Cybern       Date:  2017-03-09       Impact factor: 11.448

5.  Audit of the job satisfaction levels of the UK radiography and physics workforce in UK radiotherapy centres 2012.

Authors:  D Hutton; C Beardmore; I Patel; J Massey; H Wong; H Probst
Journal:  Br J Radiol       Date:  2014-05-02       Impact factor: 3.039

6.  Using machine learning for sequence-level automated MRI protocol selection in neuroradiology.

Authors:  Andrew D Brown; Thomas R Marotta
Journal:  J Am Med Inform Assoc       Date:  2018-05-01       Impact factor: 4.497

7.  Machine Learning in Radiology: Applications Beyond Image Interpretation.

Authors:  Paras Lakhani; Adam B Prater; R Kent Hutson; Kathy P Andriole; Keith J Dreyer; Jose Morey; Luciano M Prevedello; Toshi J Clark; J Raymond Geis; Jason N Itri; C Matthew Hawkins
Journal:  J Am Coll Radiol       Date:  2017-11-17       Impact factor: 5.532

8.  Radiology in 2018: Are You Working with AI or Being Replaced by AI?

Authors:  David A Bluemke
Journal:  Radiology       Date:  2018-05       Impact factor: 11.105

Review 9.  Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.

Authors:  Krzysztof J Geras; Ritse M Mann; Linda Moy
Journal:  Radiology       Date:  2019-09-24       Impact factor: 11.105

10.  An Individually Optimized Protocol of Contrast Medium Injection in Enhanced CT Scan for Liver Imaging.

Authors:  Shi-Ting Feng; Hongzhang Zhu; Zhenpeng Peng; Li Huang; Zhi Dong; Ling Xu; Kun Huang; Xufeng Yang; Zhi Lin; Zi-Ping Li
Journal:  Contrast Media Mol Imaging       Date:  2017-07-10       Impact factor: 3.161

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  8 in total

Review 1.  Artificial intelligence in assessment of hepatocellular carcinoma treatment response.

Authors:  Bradley Spieler; Carl Sabottke; Ahmed W Moawad; Ahmed M Gabr; Mustafa R Bashir; Richard Kinh Gian Do; Vahid Yaghmai; Radu Rozenberg; Marielia Gerena; Joseph Yacoub; Khaled M Elsayes
Journal:  Abdom Radiol (NY)       Date:  2021-03-31

Review 2.  Artificial Intelligence and Positron Emission Tomography Imaging Workflow:: Technologists' Perspective.

Authors:  Cheryl Beegle; Navid Hasani; Roberto Maass-Moreno; Babak Saboury; Eliot Siegel
Journal:  PET Clin       Date:  2022-01

Review 3.  Machine Learning for Renal Pathologies: An Updated Survey.

Authors:  Roberto Magherini; Elisa Mussi; Yary Volpe; Rocco Furferi; Francesco Buonamici; Michaela Servi
Journal:  Sensors (Basel)       Date:  2022-07-01       Impact factor: 3.847

4.  Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers' perspectives.

Authors:  William Kwadwo Antwi; Theophilus N Akudjedu; Benard Ohene Botwe
Journal:  Insights Imaging       Date:  2021-06-16

5.  Saudi Radiology Personnel's Perceptions of Artificial Intelligence Implementation: A Cross-Sectional Study.

Authors:  Abdulaziz A Qurashi; Rashed K Alanazi; Yasser M Alhazmi; Ahmed S Almohammadi; Walaa M Alsharif; Khalid M Alshamrani
Journal:  J Multidiscip Healthc       Date:  2021-11-23

6.  Australian perspectives on artificial intelligence in medical imaging.

Authors:  Geoffrey Currie; Tarni Nelson; Johnathan Hewis; Amanda Chandler; Kelly Spuur; Caroline Nabasenja; Cate Thomas; Janelle Wheat
Journal:  J Med Radiat Sci       Date:  2022-04-15

7.  Performance and educational training of radiographers in lung nodule or mass detection: Retrospective comparison with different deep learning algorithms.

Authors:  Pai-Hsueh Teng; Chia-Hao Liang; Yun Lin; Angel Alberich-Bayarri; Rafael López González; Pin-Wei Li; Yu-Hsin Weng; Yi-Ting Chen; Chih-Hsien Lin; Kang-Ju Chou; Yao-Shen Chen; Fu-Zong Wu
Journal:  Medicine (Baltimore)       Date:  2021-06-11       Impact factor: 1.817

8.  Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers' perspectives.

Authors:  William Kwadwo Antwi; Theophilus N Akudjedu; Benard Ohene Botwe
Journal:  Insights Imaging       Date:  2021-06-16
  8 in total

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