Home|Journals|Articles by Year|Audio Abstracts
 

Original Article

IJMDC. 2024; 8(6): 1478-1484


Perceptions of healthcare providers on artificial intelligence integration into dermatology clinical practice; a crosssectional study in the Kingdom of Saudi Arabia

Safya E. Esmaeel, Raghad Faisal Alruwailiy, Zainab Mofareh Alanazi, Amira Ahmed Alanazi, Fai Nada Aldhabyan, Eslam K. Fahmy.




Abstract

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 healthcare 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.

Key words: Artificial intelligence, dermatology, skin cancer, augmented intelligence, health care providers






Full-text options


Share this Article


Online Article Submission
• ejmanager.com




ejPort - eJManager.com
Refer & Earn
JournalList
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.