Jul 2026· Annals of Medicine and Surgery· Vol 88, pp. 4905 - 4912· 0 citations· 20 references
Medicine
Abstract
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.
BACKGROUND
Successful implementation of artificial intelligence (AI) in healthcare depends not only on technological performance but also on the readiness of healthcare professionals to understand, trust, and appropriately use AI-enabled systems. Evidence regarding AI knowledge among multidisciplinary operating room (OR) staff remains limited, particularly in low- and middle-income healthcare settings.
OBJECTIVE
To assess AI-related knowledge and perceptions among OR personnel and examine demographic factors associated with workforce preparedness for AI implementation in clinical practice.
METHODS
An analytical cross-sectional survey was conducted among 200 OR healthcare professionals, including nurses, OR technicians, and anesthesiology personnel, working in four educational hospitals affiliated with Isfahan University of Medical Sciences, Iran. Data were collected using a researcher-developed questionnaire, validated for content and construct validity, consisting of demographic characteristics, seven knowledge items, and twenty-five perception items. Because the data were not normally distributed, Mann-Whitney U, Kruskal-Wallis, and Spearman correlation tests were used for statistical analysis.
RESULTS
Participants demonstrated limited AI knowledge (mean score: 2.11 ± 0.76 out of 7; 30.1% of the maximum possible score), whereas perceptions toward AI were generally positive (mean score: 76.8 ± 14.5 out of 125). Knowledge scores differed significantly according to educational level (P < 0.001), employment status (P < 0.001), professional discipline (P = 0.026), work experience (P = 0.015), and gender (P = 0.036). Perception scores were significantly associated only with educational level (P = 0.010). Knowledge and perception showed a moderate positive correlation (Spearman's r = 0.421, P < 0.001), while age was weakly negatively correlated with knowledge (r = - 0.156, P = 0.027).
CONCLUSIONS
Despite favorable attitudes toward AI, OR staff demonstrated substantial deficiencies in AI knowledge. Further research and targeted educational initiatives may be warranted to improve AI knowledge among perioperative healthcare professionals and support the safe integration of clinical informatics.
Farzaneh Nekuei manesh, Zahra Eydizadeh, M. Sohrabi et al.· International Journal of Med...· 0 citations
Background: Artificial intelligence (AI), often termed the "fourth industrial revolution," is transforming healthcare by improving decision-making, diagnosis, and patient management. Despite its potential, understanding and integration of AI into medical education and practice remain limited, especially in resource-constrained regions. This study explores medical students' knowledge, attitudes, and practices concerning AI in a rural medical college in Haryana, India. Material and Methods: A cross-sectional online survey was conducted among 189 medical students at BhagatPhool Singh Government Medical College for Women, Haryana. Data were collected using a 13-item questionnaire on demographic details, knowledge, attitudes, and practices related to AI. Convenience sampling was employed, and data analysis was performed using SPSS v26.0. Frequency tables were used to summarize the findings. Results: Among respondents, 91.5% were aware of AI, yet only 53.4% knew about its medical applications. Most participants (81.5%) reported not being taught about AI during medical school, but 79.9% expressed an interest in learning more. While 76.7% agreed AI aids in early diagnosis, only 20.6% believed it could replace doctors. Regarding AI's potential burden, 18.5% agreed, while 45.5% remained neutral. For future practices, 51.9% showed willingness to work with AI, 66.7% believed it could aid in information gathering, and 78.8% thought AI would revolutionize medical teaching and research. Conclusion: The majority of medical students demonstrated a positive attitude toward AI and recognized its potential in healthcare, despite limited knowledge of its applications. Specific training and curriculum integration of AI in medical education are essential to prepare future doctors for the evolving digital landscape. Keywords: Artificial intelligence, medical education, medical students, rural healthcare, AI applications.
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.
Waghachavare Vivek B., Dhobale Randhir V., Gore Alka D. et al.· International journal of com...· 0 citations
Efforts to integrate AI into medical education and practice should be led by the WACP through AI policy development and implementation to bridge the AI gap and prepare physicians for digital healthcare.
M. Mamven, O. Oleribe, Uduak Offiong et al.· BMC Medical Education· 0 citations
Undergraduate medical students show moderate awareness of AI in healthcare but lack formal training and in-depth understanding, highlighting the need for structured AI education within medical curricula and further research on its long-term impact.
Sonali Sharma, Smriti Kayat, N. Saboo et al.· Nigerian Medical Journal· 0 citations
Positive correlations were identified among all measured dimensions, with the strongest association observed between hope and adaptation, and the findings indicate that students’ evaluations of artificial intelligence involve interrelated perceptions of knowledge, anxiety, positive expectations, and educational preparation needs.
Özlem Gök· VITALIS JOURNAL· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
