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

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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Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2024-09-03
DOI
https://doi.org/10.3389/frai.2024.1451963
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.24

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article

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

Rawan Alajmi, Mohammed D. AlAhmari, Asma Alharbi, Abdullah Alqahtani et al.
2 citations
Frontiers in Artificial Intelligence
Artificial Intelligence in Healthcare and Education
0.24
article

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

Rawan Alajmi, Mohammed D. AlAhmari, Asma Alharbi, Abdullah Alqahtani, Eidan M. Alzahrani, Jithin K. Sreedharan, Meshal Alenezi, Musallam Alnasser, Ibrahim Altedlawi Albalawi, Manjush Karthika, Abdullah A. Almojaibel, Amal Alsomali, Gokul Krishna Gopalakrishnan
article en
2 citations

Abstract

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.

Frontiers in Artificial IntelligenceVol. 7
Prince Sultan University (SA), King Abdulaziz Medical City (SA), Qatar Science and Technology Park (QA), Dammam Central Hospital (SA), Prince Sultan Military College of Health Sciences, Liwa University (AE), Batterjee Medical College, Imam Abdulrahman Bin Faisal University (SA)
Social Science Research Council
Openalex Percentile: Top 41%
Artificial Intelligence in Healthcare and Education
0.24
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Artificial intelligence in respiratory care: knowledge, perceptions, and practices—a cross-sectional study — Rawan Alajmi, Mohammed D. AlAhmari, et al. · Frontiers in Artificial Intelligence (2024) | TGRS Research Map | TGRS