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

<h3>Background</h3><p dir="ltr">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 kno...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Jithin Kalathikudiyil Sreedharan (18268894) (author)
مؤلفون آخرون:	Asma Alharbi (20735720) (author), Amal Alsomali (20735723) (author), Gokul Krishna Gopalakrishnan (20735702) (author), Abdullah Almojaibel (20735726) (author), Rawan Alajmi (20735729) (author), Ibrahim Albalawi (18268956) (author), Musallam Alnasser (20735714) (author), Meshal Alenezi (18268995) (author), Abdullah Alqahtani (7128143) (author), Mohammed Alahmari (13731189) (author), Eidan Alzahrani (20735732) (author), Manjush Karthika (18384907) (author)
منشور في:	2024
الموضوعات:	Biomedical and clinical sciences Cardiovascular medicine and haematology Health sciences Health services and systems Information and computing sciences Artificial intelligence artificial intelligence AI respiratory care respiratory therapy professionals challenges integration artificial intelligence integration
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Artificial intelligence in respiratory care: knowledge, perceptions, and practices—a cross-sectional study

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