دورية أكاديمية
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Facilitators and Barriers of Artificial Intelligence Applications in Rehabilitation: A Mixed-Method Approach.

التفاصيل البيبلوغرافية
العنوان: Facilitators and Barriers of Artificial Intelligence Applications in Rehabilitation: A Mixed-Method Approach.
المؤلفون: Alsobhi M; Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah 22252, Saudi Arabia., Sachdev HS; Department of Neurology, All India Institute of Medical Sciences, New Delhi 110029, India., Chevidikunnan MF; Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah 22252, Saudi Arabia., Basuodan R; Department of Rehabilitation Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia., K U DK; Nitte Institute of Physiotherapy, Nitte University, Deralaktte, Mangalore 575022, India., Khan F; Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah 22252, Saudi Arabia.
المصدر: International journal of environmental research and public health [Int J Environ Res Public Health] 2022 Nov 29; Vol. 19 (23). Date of Electronic Publication: 2022 Nov 29.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Basel : MDPI, c2004-
مواضيع طبية MeSH: Physical Therapists* , Medicine*, Humans ; Artificial Intelligence ; Physical Therapy Modalities ; Surveys and Questionnaires
مستخلص: Artificial intelligence (AI) has been used in physical therapy diagnosis and management for various impairments. Physical therapists (PTs) need to be able to utilize the latest innovative treatment techniques to improve the quality of care. The study aimed to describe PTs' views on AI and investigate multiple factors as indicators of AI knowledge, attitude, and adoption among PTs. Moreover, the study aimed to identify the barriers to using AI in rehabilitation. Two hundred and thirty-six PTs participated voluntarily in the study. A concurrent mixed-method design was used to document PTs' opinions regarding AI deployment in rehabilitation. A self-administered survey consisting of several aspects, including demographic, knowledge, uses, advantages, impacts, and barriers limiting AI utilization in rehabilitation, was used. A total of 63.3% of PTs reported that they had not experienced any kind of AI applications at work. The major factors predicting a higher level of AI knowledge among PTs were being a non-academic worker (OR = 1.77 [95% CI; 1.01 to 3.12], p = 0.04), being a senior PT (OR = 2.44, [95%CI: 1.40 to 4.22], p = 0.002), and having a Master/Doctorate degree (OR = 1.97, [95%CI: 1.11 to 3.50], p = 0.02). However, the cost and resources of AI were the major reported barriers to adopting AI-based technologies. The study highlighted a remarkable dearth of AI knowledge among PTs. AI and advanced knowledge in technology need to be urgently transferred to PTs.
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معلومات مُعتمدة: PNURSP2022R267 Princess Nourah bint Abdulrahman University
فهرسة مساهمة: Keywords: Artificial intelligence; clinical decision support; intention to use; perceived barriers; physical therapist
تواريخ الأحداث: Date Created: 20221211 Date Completed: 20221216 Latest Revision: 20221221
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC9737928
DOI: 10.3390/ijerph192315919
PMID: 36497993
قاعدة البيانات: MEDLINE
الوصف
تدمد:1660-4601
DOI:10.3390/ijerph192315919