دورية أكاديمية
أعرض في EDS

Factors Affecting the Adoption of Artificial Intelligence-Enabled Virtual Assistants for Leukemia Self-Management.

التفاصيل البيبلوغرافية
العنوان: Factors Affecting the Adoption of Artificial Intelligence-Enabled Virtual Assistants for Leukemia Self-Management.
المؤلفون: Alanzi T; Department of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, SAU., Almahdi R; College of Medicine, Al Baha University, Al Baha, SAU., Alghanim D; College of Medicine and Surgery, Royal College of Surgeons in Ireland, Dublin, IRL., Almusmili L; College of Pharmacy, Jazan University, Jazan, SAU., Saleh A; Faculty of Pharmacy, Ibnsina National College of Medical Studies, Jeddah, SAU., Alanazi S; Department of Pharmacy, Almoosa Specialist Hospital, Al Mubarraz, SAU., Alshobaki K; College of Medicine, King Abdulaziz University, Jeddah, SAU., Attar R; College of Medicine, King Abdulaziz University, Jeddah, SAU., Al Qunais A; College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, SAU., Alzahrani H; Department of Hematology, Armed Forces Hospital at King Abdulaziz Airbase Dhahran, Dhahran, SAU., Alshehri R; College of Medicine, Taif University, Taif, SAU., Sulail A; College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, SAU., Alblwi A; College of Medicine, King Abdulaziz University, Jeddah, SAU., Alanzi N; Department of Blood Bank, Regional Laboratory and Blood Banks Arar, Arar, SAU., Alanzi N; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, Jouf, SAU.
المصدر: Cureus [Cureus] 2023 Nov 30; Vol. 15 (11), pp. e49724. Date of Electronic Publication: 2023 Nov 30 (Print Publication: 2023).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Cureus, Inc Country of Publication: United States NLM ID: 101596737 Publication Model: eCollection Cited Medium: Print ISSN: 2168-8184 (Print) Linking ISSN: 21688184 NLM ISO Abbreviation: Cureus Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Palo Alto, CA : Cureus, Inc.
مستخلص: Aim and Purpose: The purpose of this study is to analyze the various influencing factors affecting the adoption of artificial intelligence (AI)-enabled virtual assistants (VAs) for self-management of leukemia.
Methods: A cross-sectional survey design is adopted in this study. The questionnaire included eight factors (performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, trust, perceived privacy risk, and personal innovativeness) affecting the acceptance of AI-enabled virtual assistants. A total of 397 leukemia patients participated in the online survey.
Results: Performance expectancy (μ = 3.14), effort expectancy (μ = 3.05), and personal innovativeness (μ = 3.14) were identified to be the major influencing factors of AI adoption. Statistically significant differences (p < .05) were observed between the gender-based and age groups of the participants in relation to the various factors. In addition, perceived privacy risks were negatively correlated with all other factors.
Conclusion: Although there are negative factors such as privacy risks and ethical issues in AI adoption, perceived effectiveness and ease of use among individuals are leading to greater adoption of AI-enabled VAs.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright © 2023, Alanzi et al.)
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فهرسة مساهمة: Keywords: artificial intelligence; benefits; cancer; challenges; leukemia; technology acceptance; virtual assistants
تواريخ الأحداث: Date Created: 20240101 Latest Revision: 20240103
رمز التحديث: 20240103
مُعرف محوري في PubMed: PMC10757561
DOI: 10.7759/cureus.49724
PMID: 38161825
قاعدة البيانات: MEDLINE
الوصف
تدمد:2168-8184
DOI:10.7759/cureus.49724