Aug 2026· International journal of computer information systems and industrial management applications· 0 citations
TL;DR
Healthcare students had unsatisfactory awareness of AI, and their overall attitude was negative, highlighting an urgent need for an integrated AI curriculum tailored to their actual needs.
Abstract
Objective: To assess awareness and attitudes regarding Artificial Intelligence among undergraduate medical, dental, and nursing students.Methods: A cross-sectional study was conducted in Sangli, Maharashtra, India during October 2024 to March 2025. A total of 1037 participants (379 Medical, 269 Dental, 389 Nursing) were recruited using cluster random sampling. Data was collected using a pre-tested, self-administered questionnaire.Results: The mean awareness score (range 0-18) and attitude score (range 0-12) were 7.38 (± 4.63) and 3.03 (± 2.12), respectively. The awareness score was highest among medical students and lowest among nursing students, whereas the attitude score showed the opposite trend. Urban residents and exposure to informative AI content were associated with awareness. Participants agreed that AI is an essential tool for education, but were apprehensive about job loss, data privacy, and increased surveillance. Over two-thirds (68%) used AI for academic tasks.Conclusion: Healthcare students had unsatisfactory awareness of AI, and their overall attitude was negative. These findings highlight an urgent need for an integrated AI curriculum tailored to their actual needs.
In recent times, nursing students have been utilizing artificial intelligence (AI) technology, as they perceive it boosts learning outcomes and academic performance and transforms several facets of healthcare. This study aimed to explore nursing students' knowledge, attitudes and perceptions concerning the adoption of AI in their academic and clinical areas. It applied an exploratory study design to cover the study population of all undergraduate students, including interns from selected private nursing colleges in Tamil Nadu, India (N = 440). A self-designed online questionnaire was distributed via Google Forms to the target population and 317 responded. The results showed that 81.3% were familiar with the term "AI" (81.3%). 76.3% recognized that AI would revolutionize the nursing field. Most nursing students consented that AI should be included in undergraduate (67.2%) and postgraduate (71.3%) nursing curricula. 77.9% perceived that AI would be helpful for their future career. A significant variation was observed in nursing students' knowledge, attitude and perception scores across age categories, but not for gender and year of study. This study concluded that female nursing students, especially those aged 17-19, demonstrated strong knowledge, an optimistic attitude and had a better perception of AI. The findings suggest that nursing students in India possess adequate knowledge about AI, indicating a positive perception that AI plays a transformative function in nursing education and practice, with a need for more focused training and integration into the curriculum.
Arul Valan, Latha S Kannan, A. Subbarayalu et al.· International Research Journ...· 0 citations
The findings highlight the need for a supportive educational environment with guidance to enable nursing students to use artificial intelligence appropriately and responsibly when needed, particularly among vocational college students and those from socioeconomically disadvantaged backgrounds.
Hui-Ying Fan, Qing Zhou, Lili Deng et al.· BMC Nursing· 0 citations
Background: Artificial intelligence (AI) is increasingly being applied in medicine for diagnosis, treatment, and decision-making. While enthusiasm for AI training among healthcare workers has been reported globally, little is known about awareness and attitudes in Afghanistan, where limited access to advanced diagnostic tools makes AI particularly valuable. Objective: This study aimed to assess the knowledge, attitude, and practices of AI among healthcare workers in Kabul City. Methods: A cross-sectional survey was conducted from January to February 2025 among 256 healthcare staff, including physicians, nurses, technicians, and administrative personnel. Data were collected using a structured questionnaire distributed online and in paper format. Responses were recorded on a three-point Likert scale. Statistical analysis was performed using SPSS version 26, employing descriptive statistics, chi-square tests, regression, and correlation analyses. Reliability was assessed using Cronbach’s alpha. Results: Of the participants, 71.1% were male (28.9% were female), and 43.8% were aged 21–29 years. Knowledge of AI was limited: only 1.6% demonstrated good knowledge, 44.7% poor knowledge, and 53.9% had insufficient knowledge. Attitudes were more favorable, with 47.3% expressing positive views, 37.5% somewhat agreeing, and 15.2% expressing negative views. Regression analysis revealed that age was significantly associated with knowledge scores, and knowledge strongly predicted positive attitudes. Reliability analysis confirmed acceptable internal consistency across domains (α ≥ 0.72). Conclusion: Knowledge of AI among medical staff in Kabul is limited, but attitudes are generally favorable. Structured training programs, conferences, and AI-enabled systems are needed to strengthen Afghanistan’s healthcare sector.
Ahmad Mustafa Rahimi, Abdul Bashir Bashari, M. Mohammadi et al.· Annals of Medicine and Surge...· 0 citations
Introduction: Rapid advancements in artificial intelligence (AI) have brought significant transformations to healthcare systems and medical education. Medical sciences students' awareness and attitudes toward AI play a crucial role in its acceptance and effective use. This study aimed to assess the level of AI awareness and attitudes among students at Shahid Sadoughi University of Medical Sciences, Yazd, Iran, and examine related demographic factors.
Method: This descriptive cross-sectional study was conducted in 2024 with 500 undergraduate and general medicine (MD) students from multiple faculties. Data were collected using a researcher-developed and standardized questionnaire covering demographics, AI-related awareness, attitudes, and concerns. Content validity was confirmed by 10 experts (CVI = 0.89), and reliability was verified (Cronbach's alpha = 0.83). Data analysis was performed with chi-square test, independent samples t-test, and ANOVA.
Results: Among participants, 62% were female and 90% were under 25 years old. The highest awareness and most positive attitudes were found among medical and midwifery students, while emergency medical services and operating room students showed the lowest levels (P < 0.05). Mean awareness and attitude scores were significantly higher in females than males (P < 0.05), with no significant differences across age groups. Concerns about job displacement due to AI were also prominent.
Conclusion: Although students showed positive attitudes toward AI, their conceptual and practical awareness was moderate. Integrating structured educational programs focusing on practical and ethical aspects of AI into the medical curriculum is essential.
Rastegar Ghavi Z, Najaryan N, Cheraghi Nik A et al.· Journal of Medical Education...· 0 citations
Nursing students had a wavier level of artificial intelligence literacy of knowledge, attitude and practice and its application in nursing learning, which foster effective integration of artificial intelligence in nursing education.
Haider Mohammed Majeed, Ali Hussein Alek Al-Ganmi, Ali Dhahir Abdulyemmah et al.· F1000Research· 0 citations
This study examined vocational health services students’ perceived knowledge, anxiety, hope, adaptation, and perspectives regarding the use of artificial intelligence in healthcare and evaluated whether these scores differed according to selected individual and health-related characteristics. A cross-sectional, descriptive, and correlational design was used. The study included 174 students enrolled at Batman University Vocational School of Health Services during the 2025–2026 academic year. Data were collected between April and May 2026 using a Personal Information Form and the Knowledge, Attitudes, and Perspectives Scales on the Use of Artificial Intelligence in Healthcare. Descriptive statistics, independent-samples t tests, Pearson correlation analysis, and Cronbach’s alpha coefficients were used. Internal consistency coefficients ranged from 0.777 to 0.897. No statistically significant differences were found according to gender, year of study, chronic illness status, or living arrangement. Students who regularly used medication had higher anxiety scores in the unadjusted analysis; however, this difference did not remain significant after Holm adjustment and was considered exploratory. Positive correlations were identified among all measured dimensions, with the strongest association observed between hope and adaptation. The findings indicate that students’ evaluations of artificial intelligence involve interrelated perceptions of knowledge, anxiety, positive expectations, and educational preparation needs. Healthcare education programs should include structured content addressing the clinical applications, limitations, ethical implications, and critical evaluation of artificial intelligence.