Perspectives of radiologists in Ghana about the emerging role of artificial intelligence in radiology

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dc.contributor.authorEdzie, E.K.M.
dc.contributor.authorBrakohiapa, E.K.
dc.date.accessioned2023-05-16T12:16:29Z
dc.date.available2023-05-16T12:16:29Z
dc.date.issued2023
dc.descriptionResearch Articleen_US
dc.description.abstractBackground: The integration of Artificial Intelligence (AI)-based technologies in medicine is advancing rapidly especially in the field of radiology. This however, is at a slow pace in Africa, hence, this study to evaluate the perspectives of Ghanaian radiologists. Methods: Data for this cross-sectional prospective study was collected between September and November 2021 through an online survey and entered into SPSS for analysis. A Mann–Whitney U test assisted in checking for possible gender differences in the mean Likert scale responses on the radiologists’ perspectives about AI in radiology. Statistical significance was set at P ≤ 0.05. Results: The study comprised 77 radiologists, with more males (71.4%). 97.4% were aware of the concept of AI, with their initial exposure via conferences (42.9%). The majority of the re spondents had average awareness (36.4%) and below average expertise (44.2%) in radiological AI usage. Most of the participants (54.5%) stated, they do not use AI in their practices. The re spondents disagreed that AI will ultimately replace radiologists in the near future (average Likert score = 3.49, SD = 1.096) and that AI should be an integral part of the training of radiologists (average Likert score = 1.91, SD = 0.830). Conclusion: Although the radiologists had positive opinions about the capabilities of AI, they exhibited an average awareness of and below average expertise in the usage of AI applications in radiology. They agreed on the potential life changing impact of AI and were of the view that AI will not replace radiologists but serve as a complement. There was inadequate radiological AI infrastructure in Ghana.en_US
dc.identifier.otherhttps://doi.org/10.1016/j.heliyon.2023.e15558
dc.identifier.urihttp://ugspace.ug.edu.gh:8080/handle/123456789/39064
dc.language.isoenen_US
dc.publisherHeliyonen_US
dc.subjectArtificial intelligenceen_US
dc.subjectPerceptionen_US
dc.subjectMachine learningen_US
dc.subjectRadiologyen_US
dc.subjectGhanaen_US
dc.titlePerspectives of radiologists in Ghana about the emerging role of artificial intelligence in radiologyen_US
dc.typeArticleen_US

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