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

Area of Science:

• Healthcare Technology
• Respiratory Medicine
• Artificial Intelligence

Background:

• Artificial intelligence (AI) is transforming healthcare, especially respiratory medicine and critical care.
• AI leverages big and synthetic data to enhance diagnostic accuracy and therapeutic outcomes.
• This study assesses respiratory therapists' (RTs) knowledge, perceptions, and practices concerning AI.

Purpose of the Study:

• To evaluate the current understanding and adoption of AI among RTs in Saudi Arabia.
• To identify barriers and facilitators for AI integration into respiratory care.
• To inform educational strategies for AI in respiratory therapy.

Main Methods:

• A survey was conducted among 448 RTs in Saudi Arabia.
• Validated questionnaires collected data on AI knowledge, perceptions, and experience.
• Statistical analyses included descriptive statistics, thematic analysis, Fisher's exact test, and chi-square test.

Main Results:

• 28% of RTs had some AI knowledge, but only 8.5% had practical experience.
• Significant gender disparities in AI knowledge were observed (p < 0.001).
• 59% advocated for AI in the curriculum, 51% saw a vital role for AI in respiratory care, and 41% called for specialized AI personnel.

Conclusions:

• A notable gap exists between AI awareness and practical application among RTs.
• Addressing knowledge deficiencies and enhancing skills are crucial for AI adoption.
• Strategic educational planning is essential to integrate AI effectively and advance respiratory care practices.