Artificial intelligence in respiratory care: knowledge, perceptions, and practices-a cross-sectional study

被引:0
|
作者
Sreedharan, Jithin K. [1 ]
Alharbi, Asma [2 ]
Alsomali, Amal [2 ]
Gopalakrishnan, Gokul Krishna [3 ]
Almojaibel, Abdullah [4 ]
Alajmi, Rawan [2 ]
Albalawi, Ibrahim [5 ]
Alnasser, Musallam [2 ]
Alenezi, Meshal [2 ]
Alqahtani, Abdullah [2 ]
Alahmari, Mohammed [6 ]
Alzahrani, Eidan [7 ]
Karthika, Manjush [8 ]
机构
[1] Univ Doha Sci & Technol, Coll Hlth Sci, Dept Resp Therapy, Doha, Qatar
[2] Prince Sultan Mil Coll Hlth Sci, Dept Resp Care, Dammam, Saudi Arabia
[3] Batterjee Med Coll, Dept Resp Care, Jeddah, Saudi Arabia
[4] Imam Abdulrahman Bin Faisal Univ, Dept Resp Care, Dammam, Saudi Arabia
[5] Prince Sultan Mil Coll Hlth Sci, Adv Ctr Clin Simulat, Dammam, Saudi Arabia
[6] Eastern Hlth Cluster, Dammam Hlth Network, Dammam, Saudi Arabia
[7] Prince Sultan Mil Coll Hlth Sci, Dept Phys Therapy, Dammam, Saudi Arabia
[8] Liwa Coll, Dept Hlth & Med Sci, Abu Dhabi, U Arab Emirates
来源
关键词
artificial intelligence; AI; respiratory care; respiratory therapy; professionals; challenges; integration artificial intelligence; integration;
D O I
10.3389/frai.2024.1451963
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
<bold>Background:</bold> Artificial intelligence (AI) is reforming healthcare, particularly in respiratory medicine and critical care, by utilizing big and synthetic data to improve diagnostic accuracy and therapeutic benefits. This survey aimed to evaluate the knowledge, perceptions, and practices of respiratory therapists (RTs) regarding AI to effectively incorporate these technologies into the clinical practice. <bold>Methods:</bold> The study approved by the institutional review board, aimed at the RTs working in the Kingdom of Saudi Arabia. The validated questionnaire collected reflective insights from 448 RTs in Saudi Arabia. Descriptive statistics, thematic analysis, Fisher's exact test, and chi-square test were used to evaluate the significance of the data. <bold>Results:</bold> The survey revealed a nearly equal distribution of genders (51% female, 49% male). Most respondents were in the 20-25 age group (54%), held bachelor's degrees (69%), and had 0-5 years of experience (73%). While 28% had some knowledge of AI, only 8.5% had practical experience. Significant gender disparities in AI knowledge were noted (p < 0.001). Key findings included 59% advocating for basics of AI in the curriculum, 51% believing AI would play a vital role in respiratory care, and 41% calling for specialized AI personnel. Major challenges identified included knowledge deficiencies (23%), skill enhancement (23%), and limited access to training (17%). <bold>Conclusion:</bold> In conclusion, this study highlights differences in the levels of knowledge and perceptions regarding AI among respiratory care professionals, underlining its recognized significance and futuristic awareness in the field. Tailored education and strategic planning are crucial for enhancing the quality of respiratory care, with the integration of AI. Addressing these gaps is essential for utilizing the full potential of AI in advancing respiratory care practices.
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页数:15
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