Exploring the Knowledge, Attitudes, and Practices of Radiographers Regarding the Use of Artificial Intelligence in CT in Selected Private Hospitals in KZN

Nondumiso Praise Zuma; Timika Mewalall; Thandokuhle Emmanuel Khoza

doi:doi:10.11648/j.rst.20220804.12

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Exploring the Knowledge, Attitudes, and Practices of Radiographers Regarding the Use of Artificial Intelligence in CT in Selected Private Hospitals in KZN

Nondumiso Praise Zuma, Timika Mewalall, Thandokuhle Emmanuel Khoza

Published in Radiation Science and Technology (Volume 8, Issue 4)

Received: 17 August 2022 Accepted: 15 September 2022 Published: 30 November 2022

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Abstract

Artificial Intelligence (AI) has become increasingly important to daily lives. AI has introduced several algorithms in Computed Tomography (CT) which allow for improved image quality at a low dose. These systems execute tasks that are normally done by a human (Radiographers). Hence Radiographers need to have adequate knowledge of these AI applications. Previous studies reveal that Radiographers lack knowledge of the AI and its algorithms that are used in CT, which has been identified as a problem because limited information is passed on to students and trainees. The aim of this study was to explore Radiographers’ knowledge, attitudes, and practices toward the use of AI in CT. The research was conducted in selected private hospitals in Kwa-Zulu Natal in which semi-structured and in-depth face to face interviews using open-ended questions were used to collect data from 10 participants. Three main themes generated from the study’s theoretical framework were used for data analysis, namely knowledge, attitudes, and practices. Findings in this study indicate that Radiographers lack knowledge of AI and its algorithms that are used in CT. Their lack of knowledge is a result of a lack of training and education. Findings also suggest that a lack of knowledge contributes to uncertainty about the potential impact of AI implementation. However, Radiographers demonstrated interest in wanting to gain more information. Radiographers that participated in this study demonstrated a lack of knowledge, but also an interest in learning more about AI. This, therefore, necessitates collaboration between educational institutes and professional organizations to develop structured training programs for Radiographers.

Published in	Radiation Science and Technology (Volume 8, Issue 4)
DOI	10.11648/j.rst.20220804.12
Page(s)	58-63
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Artificial Intelligence, Computed Tomography, Algorithms, Radiation, Radiographers

References

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APA Style

Nondumiso Praise Zuma, Timika Mewalall, Thandokuhle Emmanuel Khoza. (2022). Exploring the Knowledge, Attitudes, and Practices of Radiographers Regarding the Use of Artificial Intelligence in CT in Selected Private Hospitals in KZN. Radiation Science and Technology, 8(4), 58-63. https://doi.org/10.11648/j.rst.20220804.12

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ACS Style

Nondumiso Praise Zuma; Timika Mewalall; Thandokuhle Emmanuel Khoza. Exploring the Knowledge, Attitudes, and Practices of Radiographers Regarding the Use of Artificial Intelligence in CT in Selected Private Hospitals in KZN. Radiat. Sci. Technol. 2022, 8(4), 58-63. doi: 10.11648/j.rst.20220804.12

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AMA Style

Nondumiso Praise Zuma, Timika Mewalall, Thandokuhle Emmanuel Khoza. Exploring the Knowledge, Attitudes, and Practices of Radiographers Regarding the Use of Artificial Intelligence in CT in Selected Private Hospitals in KZN. Radiat Sci Technol. 2022;8(4):58-63. doi: 10.11648/j.rst.20220804.12

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@article{10.11648/j.rst.20220804.12,
  author = {Nondumiso Praise Zuma and Timika Mewalall and Thandokuhle Emmanuel Khoza},
  title = {Exploring the Knowledge, Attitudes, and Practices of Radiographers Regarding the Use of Artificial Intelligence in CT in Selected Private Hospitals in KZN},
  journal = {Radiation Science and Technology},
  volume = {8},
  number = {4},
  pages = {58-63},
  doi = {10.11648/j.rst.20220804.12},
  url = {https://doi.org/10.11648/j.rst.20220804.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.rst.20220804.12},
  abstract = {Artificial Intelligence (AI) has become increasingly important to daily lives. AI has introduced several algorithms in Computed Tomography (CT) which allow for improved image quality at a low dose. These systems execute tasks that are normally done by a human (Radiographers). Hence Radiographers need to have adequate knowledge of these AI applications. Previous studies reveal that Radiographers lack knowledge of the AI and its algorithms that are used in CT, which has been identified as a problem because limited information is passed on to students and trainees. The aim of this study was to explore Radiographers’ knowledge, attitudes, and practices toward the use of AI in CT. The research was conducted in selected private hospitals in Kwa-Zulu Natal in which semi-structured and in-depth face to face interviews using open-ended questions were used to collect data from 10 participants. Three main themes generated from the study’s theoretical framework were used for data analysis, namely knowledge, attitudes, and practices. Findings in this study indicate that Radiographers lack knowledge of AI and its algorithms that are used in CT. Their lack of knowledge is a result of a lack of training and education. Findings also suggest that a lack of knowledge contributes to uncertainty about the potential impact of AI implementation. However, Radiographers demonstrated interest in wanting to gain more information. Radiographers that participated in this study demonstrated a lack of knowledge, but also an interest in learning more about AI. This, therefore, necessitates collaboration between educational institutes and professional organizations to develop structured training programs for Radiographers.},
 year = {2022}
}

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TY - JOUR
T1 - Exploring the Knowledge, Attitudes, and Practices of Radiographers Regarding the Use of Artificial Intelligence in CT in Selected Private Hospitals in KZN
AU - Nondumiso Praise Zuma
AU - Timika Mewalall
AU - Thandokuhle Emmanuel Khoza
Y1 - 2022/11/30
PY - 2022
N1 - https://doi.org/10.11648/j.rst.20220804.12
DO - 10.11648/j.rst.20220804.12
T2 - Radiation Science and Technology
JF - Radiation Science and Technology
JO - Radiation Science and Technology
SP - 58
EP - 63
PB - Science Publishing Group
SN - 2575-5943
UR - https://doi.org/10.11648/j.rst.20220804.12
AB - Artificial Intelligence (AI) has become increasingly important to daily lives. AI has introduced several algorithms in Computed Tomography (CT) which allow for improved image quality at a low dose. These systems execute tasks that are normally done by a human (Radiographers). Hence Radiographers need to have adequate knowledge of these AI applications. Previous studies reveal that Radiographers lack knowledge of the AI and its algorithms that are used in CT, which has been identified as a problem because limited information is passed on to students and trainees. The aim of this study was to explore Radiographers’ knowledge, attitudes, and practices toward the use of AI in CT. The research was conducted in selected private hospitals in Kwa-Zulu Natal in which semi-structured and in-depth face to face interviews using open-ended questions were used to collect data from 10 participants. Three main themes generated from the study’s theoretical framework were used for data analysis, namely knowledge, attitudes, and practices. Findings in this study indicate that Radiographers lack knowledge of AI and its algorithms that are used in CT. Their lack of knowledge is a result of a lack of training and education. Findings also suggest that a lack of knowledge contributes to uncertainty about the potential impact of AI implementation. However, Radiographers demonstrated interest in wanting to gain more information. Radiographers that participated in this study demonstrated a lack of knowledge, but also an interest in learning more about AI. This, therefore, necessitates collaboration between educational institutes and professional organizations to develop structured training programs for Radiographers.
VL - 8
IS - 4
ER -

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Author Information

Nondumiso Praise Zuma

Department of Radiography, Durban University of Technology, Durban, South Africa
Timika Mewalall

Department of Radiography, Durban University of Technology, Durban, South Africa
Thandokuhle Emmanuel Khoza

Department of Radiography, Durban University of Technology, Durban, South Africa

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Nondumiso Praise Zuma, Timika Mewalall, Thandokuhle Emmanuel Khoza. (2022). Exploring the Knowledge, Attitudes, and Practices of Radiographers Regarding the Use of Artificial Intelligence in CT in Selected Private Hospitals in KZN. Radiation Science and Technology, 8(4), 58-63. https://doi.org/10.11648/j.rst.20220804.12

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ACS Style

Nondumiso Praise Zuma; Timika Mewalall; Thandokuhle Emmanuel Khoza. Exploring the Knowledge, Attitudes, and Practices of Radiographers Regarding the Use of Artificial Intelligence in CT in Selected Private Hospitals in KZN. Radiat. Sci. Technol. 2022, 8(4), 58-63. doi: 10.11648/j.rst.20220804.12

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AMA Style

Nondumiso Praise Zuma, Timika Mewalall, Thandokuhle Emmanuel Khoza. Exploring the Knowledge, Attitudes, and Practices of Radiographers Regarding the Use of Artificial Intelligence in CT in Selected Private Hospitals in KZN. Radiat Sci Technol. 2022;8(4):58-63. doi: 10.11648/j.rst.20220804.12

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@article{10.11648/j.rst.20220804.12,
  author = {Nondumiso Praise Zuma and Timika Mewalall and Thandokuhle Emmanuel Khoza},
  title = {Exploring the Knowledge, Attitudes, and Practices of Radiographers Regarding the Use of Artificial Intelligence in CT in Selected Private Hospitals in KZN},
  journal = {Radiation Science and Technology},
  volume = {8},
  number = {4},
  pages = {58-63},
  doi = {10.11648/j.rst.20220804.12},
  url = {https://doi.org/10.11648/j.rst.20220804.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.rst.20220804.12},
  abstract = {Artificial Intelligence (AI) has become increasingly important to daily lives. AI has introduced several algorithms in Computed Tomography (CT) which allow for improved image quality at a low dose. These systems execute tasks that are normally done by a human (Radiographers). Hence Radiographers need to have adequate knowledge of these AI applications. Previous studies reveal that Radiographers lack knowledge of the AI and its algorithms that are used in CT, which has been identified as a problem because limited information is passed on to students and trainees. The aim of this study was to explore Radiographers’ knowledge, attitudes, and practices toward the use of AI in CT. The research was conducted in selected private hospitals in Kwa-Zulu Natal in which semi-structured and in-depth face to face interviews using open-ended questions were used to collect data from 10 participants. Three main themes generated from the study’s theoretical framework were used for data analysis, namely knowledge, attitudes, and practices. Findings in this study indicate that Radiographers lack knowledge of AI and its algorithms that are used in CT. Their lack of knowledge is a result of a lack of training and education. Findings also suggest that a lack of knowledge contributes to uncertainty about the potential impact of AI implementation. However, Radiographers demonstrated interest in wanting to gain more information. Radiographers that participated in this study demonstrated a lack of knowledge, but also an interest in learning more about AI. This, therefore, necessitates collaboration between educational institutes and professional organizations to develop structured training programs for Radiographers.},
 year = {2022}
}

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