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Radiographers’ perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study
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 me...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424310/ https://www.ncbi.nlm.nih.gov/pubmed/33586361 http://dx.doi.org/10.1002/jmrs.460 |
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author | Botwe, Benard O. Antwi, William K. Arkoh, Samuel Akudjedu, Theophilus N. |
author_facet | Botwe, Benard O. Antwi, William K. Arkoh, Samuel Akudjedu, Theophilus N. |
author_sort | Botwe, Benard O. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8424310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84243102021-09-13 Radiographers’ perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study Botwe, Benard O. Antwi, William K. Arkoh, Samuel Akudjedu, Theophilus N. J Med Radiat Sci Original Articles 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. John Wiley and Sons Inc. 2021-02-14 2021-09 /pmc/articles/PMC8424310/ /pubmed/33586361 http://dx.doi.org/10.1002/jmrs.460 Text en © 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 https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Botwe, Benard O. Antwi, William K. Arkoh, Samuel Akudjedu, Theophilus N. Radiographers’ perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study |
title | Radiographers’ perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study |
title_full | Radiographers’ perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study |
title_fullStr | Radiographers’ perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study |
title_full_unstemmed | Radiographers’ perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study |
title_short | Radiographers’ perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study |
title_sort | radiographers’ perspectives on the emerging integration of artificial intelligence into diagnostic imaging: the ghana study |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424310/ https://www.ncbi.nlm.nih.gov/pubmed/33586361 http://dx.doi.org/10.1002/jmrs.460 |
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