Cargando…

Awareness of Artificial Intelligence in Medical Imaging Among Radiologists and Radiologic Technologists

Background: Current technological developments in medical imaging are primarily focused on increasing the integration of artificial intelligence (AI) into all medical imaging modalities. They are already considered capable of handling tasks such as image reconstruction, processing (denoising, segmen...

Descripción completa

Detalles Bibliográficos
Autor principal: Alsultan, Kamal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228162/
https://www.ncbi.nlm.nih.gov/pubmed/37261164
http://dx.doi.org/10.7759/cureus.38325
_version_ 1785050911071010816
author Alsultan, Kamal
author_facet Alsultan, Kamal
author_sort Alsultan, Kamal
collection PubMed
description Background: Current technological developments in medical imaging are primarily focused on increasing the integration of artificial intelligence (AI) into all medical imaging modalities. They are already considered capable of handling tasks such as image reconstruction, processing (denoising, segmentation), analysis, and predictive modeling. The purpose of this study is to assess the awareness (knowledge, attitudes, and practices) of radiologists and radiologic technologists regarding AI in medical imaging. Materials and methods: This cross-sectional, qualitative study focuses on radiologists and radiologic technologists in Saudi Arabia, Sudan, and Yemen. A self-administered questionnaire based on published studies was used to collect primary data. Version 25.0 of IBM SPSS Statistics (IBM Corp., Armonk, NY) was used for the statistical analysis. The demographics were summarized as frequency and percentage. Independent samples t-tests and ANOVA tests were used to evaluate and compare the degree of AI awareness among the study groups. Results: A total of 210 individuals completed the survey. According to demographic information, there were 134 (63.8%) radiologic technologists and 76 radiologists (36.2%). Of the participants, 131 (62%) were male, while 79 (37.6%) were female. A total of 130 (61.9%) of the targeted respondents had a positive attitude, 105 (50%) had appropriate practice, and 122 (58.1%) of them were informed (knowledgeable) about AI in medical imaging. There was a significant difference in knowledge awareness between radiologists and radiologic technologists (p-value: <0.05). Radiologists were more knowledgeable than radiologic technologists, and females were more knowledgeable than males (p-value: 0.049). For attitude awareness, there were no significant differences regarding specialization, gender, age, academic qualification, and experience (p-value > 0.05). Regarding practice awareness, it turned out that females are more knowledgeable than males (p-value: 0.007). Additionally, it was discovered that significant differences indicated that bachelor's degree holders have a higher level of practice awareness than diploma holders (p-value: <0.05). Conclusion: Significant differences between the respondent's knowledge awareness regarding specialization, gender, and experience are linked with relatively sufficient AI-basic knowledge and positive attitude awareness among radiologists and radiologic technologists. Only half of the study participants had appropriate practical awareness; therefore, additional training could enhance practical awareness.
format Online
Article
Text
id pubmed-10228162
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Cureus
record_format MEDLINE/PubMed
spelling pubmed-102281622023-05-31 Awareness of Artificial Intelligence in Medical Imaging Among Radiologists and Radiologic Technologists Alsultan, Kamal Cureus Radiology Background: Current technological developments in medical imaging are primarily focused on increasing the integration of artificial intelligence (AI) into all medical imaging modalities. They are already considered capable of handling tasks such as image reconstruction, processing (denoising, segmentation), analysis, and predictive modeling. The purpose of this study is to assess the awareness (knowledge, attitudes, and practices) of radiologists and radiologic technologists regarding AI in medical imaging. Materials and methods: This cross-sectional, qualitative study focuses on radiologists and radiologic technologists in Saudi Arabia, Sudan, and Yemen. A self-administered questionnaire based on published studies was used to collect primary data. Version 25.0 of IBM SPSS Statistics (IBM Corp., Armonk, NY) was used for the statistical analysis. The demographics were summarized as frequency and percentage. Independent samples t-tests and ANOVA tests were used to evaluate and compare the degree of AI awareness among the study groups. Results: A total of 210 individuals completed the survey. According to demographic information, there were 134 (63.8%) radiologic technologists and 76 radiologists (36.2%). Of the participants, 131 (62%) were male, while 79 (37.6%) were female. A total of 130 (61.9%) of the targeted respondents had a positive attitude, 105 (50%) had appropriate practice, and 122 (58.1%) of them were informed (knowledgeable) about AI in medical imaging. There was a significant difference in knowledge awareness between radiologists and radiologic technologists (p-value: <0.05). Radiologists were more knowledgeable than radiologic technologists, and females were more knowledgeable than males (p-value: 0.049). For attitude awareness, there were no significant differences regarding specialization, gender, age, academic qualification, and experience (p-value > 0.05). Regarding practice awareness, it turned out that females are more knowledgeable than males (p-value: 0.007). Additionally, it was discovered that significant differences indicated that bachelor's degree holders have a higher level of practice awareness than diploma holders (p-value: <0.05). Conclusion: Significant differences between the respondent's knowledge awareness regarding specialization, gender, and experience are linked with relatively sufficient AI-basic knowledge and positive attitude awareness among radiologists and radiologic technologists. Only half of the study participants had appropriate practical awareness; therefore, additional training could enhance practical awareness. Cureus 2023-04-30 /pmc/articles/PMC10228162/ /pubmed/37261164 http://dx.doi.org/10.7759/cureus.38325 Text en Copyright © 2023, Alsultan et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Radiology
Alsultan, Kamal
Awareness of Artificial Intelligence in Medical Imaging Among Radiologists and Radiologic Technologists
title Awareness of Artificial Intelligence in Medical Imaging Among Radiologists and Radiologic Technologists
title_full Awareness of Artificial Intelligence in Medical Imaging Among Radiologists and Radiologic Technologists
title_fullStr Awareness of Artificial Intelligence in Medical Imaging Among Radiologists and Radiologic Technologists
title_full_unstemmed Awareness of Artificial Intelligence in Medical Imaging Among Radiologists and Radiologic Technologists
title_short Awareness of Artificial Intelligence in Medical Imaging Among Radiologists and Radiologic Technologists
title_sort awareness of artificial intelligence in medical imaging among radiologists and radiologic technologists
topic Radiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228162/
https://www.ncbi.nlm.nih.gov/pubmed/37261164
http://dx.doi.org/10.7759/cureus.38325
work_keys_str_mv AT alsultankamal awarenessofartificialintelligenceinmedicalimagingamongradiologistsandradiologictechnologists