Mar 2026· Nigerian Medical Journal· Vol 66, pp. 2116 - 2127· 0 citations· 21 references
Medicine
TL;DR
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.
Abstract
Background: Artificial intelligence (AI) is increasingly integrated into healthcare, creating a demand for AI technology literacy among healthcare professionals. This study aimed to investigate undergraduate medical students’ awareness, concerns, and perceptions of AI in healthcare. Methodology: This cross-sectional study was conducted on 356 undergraduate medical students at a constituent medical college of a health university in India. Data were collected using various sections of a structured questionnaire (Google Forms). The questionnaire was validated to ensure its authenticity and alignment with the study's aim. To assess reliability and readability, a pilot study was conducted. Before the study, ethical approval was obtained, and each participant gave their informed consent. SPSS-26 was used to analyze the data. Results: There was a 41.88% valid response rate, but the overall response rate 45.05%, and a fairly balanced distribution of sexes. Across AI domains, combined awareness ranged from 48.6% to 58.1%, whereas combined disagreement ranged from 22.8% to 32.9%. Most students did not receive formal training in AI. The major concerns noted were job security (43.8%), patient data privacy (47.2%), and errors in medical diagnosis and treatment (44.1%). However, 53.8% of the students perceived AI as a valuable tool for improving healthcare delivery and patient outcomes. Conclusion: Undergraduate medical students show moderate awareness of AI in healthcare but lack formal training and in-depth understanding. Concerns persist regarding ethics, job displacement, loss of empathy, and clinical errors, despite recognition of AI’s potential to improve healthcare outcomes. These findings highlight the need for structured AI education within medical curricula and further research on its long-term impact.
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
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
Although baseline knowledge of AI among medical students and faculty members was limited, both groups demonstrated strong positive attitudes and a clear demand for further training, highlighting the importance of integrating structured AI education into medical curricula to support the responsible and effective use of emerging technologies.
Ay Sıla Çaloğlu, Halid Durna, Zeynep Naz Ergen et al.· Journal of Medical Education...· 0 citations
Assessment of patients’ perceptions of the integration of Artificial Intelligence in healthcare and its impact on the doctor–patient relationship and participants’ trust, comfort, and concerns toward AI use found comfort and trust in AI are significantly affected by factors such as gender and digital literacy.
Faten M. Rabie, Youmna Mamdouh, Rama Ah. Alabadd et al.· PAIN, JOINTS, SPINE· 0 citations
BACKGROUND
This cross-sectional study investigates healthcare practitioners' perceptions of the implementation of artificial intelligence (AI) to enhance patient safety culture in Riyadh, Saudi Arabia, conducted from March to June 2025. The focus is on understanding how AI is perceived in the context of improving patient safety culture and aligning with Saudi Vision 2030 goals.
METHODS
The study employed a cross-sectional design and administered self-administered online surveys via convenience sampling among healthcare practitioners across multiple healthcare settings in Riyadh. The study targeted a population including doctors, nurses, and allied health professionals. A structured questionnaire was developed to assess perceptions of AI, including key variables such as perceived AI benefits, concerns about data privacy, and the necessity of training. Descriptive statistics were computed to characterize the sample, including age, gender, and profession.
RESULTS
Findings revealed that most participants perceived AI as supportive of patient safety through improved diagnostic accuracy, reduced medical errors, and streamlined workflows, which participants believed may contribute to a stronger patient safety culture. Descriptive analyses suggested variation in perceptions across professional groups.
DISCUSSION
The study found that healthcare practitioners in Riyadh generally perceived AI as a potentially valuable tool for supporting patient safety culture, particularly through improving diagnostic accuracy and reducing errors; however, concerns about data privacy and insufficient training remain significant barriers that must be addressed to ensure effective and safe AI integration.
CONCLUSIONS
This study highlighted healthcare practitioners' positive perception of AI's role in enhancing patient safety culture in Riyadh. While AI is seen as beneficial in improving accuracy and reducing errors, challenges such as data privacy concerns and a lack of training were identified as barriers to its implementation.
CLINICAL TRIAL NUMBER
Not applicable.
Amal Abuabat, A. Almutairi, Noura Gazali et al.· BMC Health Services Research· 0 citations
Although students showed positive attitudes toward AI, their conceptual and practical awareness was moderate, and 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