Perceptions of healthcare providers on artificial intelligence integration into dermatology clinical practice; a cross-sectional study in the Kingdom of Saudi Arabia.
Autor: | Esmaeel, Safya E., Alruwailiy, Raghad Faisal, Alanazi, Zainab Mofareh, Alanazi, Amira Ahmed, Aldhabyan, Fai Nada, Eslam K., Fahmy |
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Předmět: |
CROSS-sectional method
MEDICAL logic MEDICAL technology QUALITATIVE research ARTIFICIAL intelligence DERMATOLOGY STATISTICAL sampling QUESTIONNAIRES QUANTITATIVE research DESCRIPTIVE statistics CHI-squared test SURVEYS ATTITUDES of medical personnel DERMOSCOPY DERMATOLOGISTS HUMAN error DATA analysis software MEDICAL practice |
Zdroj: | International Journal of Medicine in Developing Countries; 2024, Vol. 8 Issue 6, p1478-1484, 7p |
Abstrakt: | Objective: The study aimed to understand the perceptions of healthcare providers in the dermatology field in Saudi Arabia about using artificial intelligence (AI) and to know their attitudes, and expectations toward AI applications in the dermatology field. Methods: A quantitative cross-sectional design was used, and the participants were selected through convenience sampling from different areas of Saudi Arabia randomly. A self-administered online questionnaire was used to conduct the study. Results: Dermatologists in Saudi Arabia showed a positive attitude toward AI in dermatology. In general, gender and nationality did not affect their attitudes about AI (p -value> 0.05). It was worthy that the majority of participants (75.5%) were already aware of AI, indicating a certain level of familiarity within the health-care community. Furthermore, a significant percentage of participants (72.9%) believed that AI technology could potentially reduce errors in clinical practice and decrease the differences in judgments between medical professionals. Conclusion: A positive attitude was shown by Saudi Arabian healthcare providers toward using AI in dermatology. Additionally, dermatologists were aware of the potential of AI in detecting skin diseases by using histopathological and dermoscopy imaging. [ABSTRACT FROM AUTHOR] |
Databáze: | Complementary Index |
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