Literature DB >> 33586361

Radiographers' perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study.

Benard O Botwe1, William K Antwi1, Samuel Arkoh1, Theophilus N Akudjedu2.   

Abstract

INTRODUCTION: The integration of artificial intelligence (AI) systems into medical imaging is advancing the practice and patient care. It is thought to further revolutionise the entire field in the near future. This study explored Ghanaian radiographers' perspectives on the integration of AI into medical imaging.
METHODS: A cross-sectional online survey of registered Ghanaian radiographers was conducted within a 3-month period (February-April, 2020). The survey sought information relating to demography, general perspectives on AI and implementation issues. Descriptive and inferential statistics were used for data analyses.
RESULTS: A response rate of 64.5% (151/234) was achieved. Majority of the respondents (n = 122, 80.8%) agreed that AI technology is the future of medical imaging. A good number of them (n = 131, 87.4%) indicated that AI would have an overall positive impact on medical imaging practice. However, some expressed fears about AI-related errors (n = 126, 83.4%), while others expressed concerns relating to job security (n = 35, 23.2%). High equipment cost, lack of knowledge and fear of cyber threats were identified as some factors hindering AI implementation in Ghana.
CONCLUSIONS: The radiographers who responded to this survey demonstrated a positive attitude towards the integration of AI into medical imaging. However, there were concerns about AI-related errors, job displacement and salary reduction which need to be addressed. Lack of knowledge, high equipment cost and cyber threats could impede the implementation of AI in medical imaging in Ghana. These findings are likely comparable to most low resource countries and we suggest more education to promote credibility of AI in practice.
© 2021 The Authors. Journal of Medical Radiation Sciences published by John Wiley & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technology.

Entities:  

Keywords:  Artificial intelligence; Ghana; medical Imaging; perspectives; radiographer

Year:  2021        PMID: 33586361     DOI: 10.1002/jmrs.460

Source DB:  PubMed          Journal:  J Med Radiat Sci        ISSN: 2051-3895


  5 in total

Review 1.  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

2.  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

3.  COVID-19 vaccine hesitancy concerns: Findings from a Ghana clinical radiography workforce survey.

Authors:  B O Botwe; W K Antwi; J A Adusei; R N Mayeden; T N Akudjedu; S D Sule
Journal:  Radiography (Lond)       Date:  2021-10-08

4.  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

5.  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 in total

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