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Global physician perspectives on artificial intelligence in healthcare across 50 countries and territories
Bayarbaatar Bold1,2,3, Oguzhan Serin4, Lukitaningrum Tantri Adhiatma5
1Mongolian Society of Artificial Intelligence in Medicine, Ulaanbaatar, Mongolia. bayarbaatar99@gmail.com.
Abstract:
Despite rapid advances in artificial intelligence (AI) capabilities, clinical integration remains limited, partly due to an incomplete understanding of physicians' real-world engagement and determinants of adoption. We conducted an international cross-sectional survey between June and September 2024 using a 30-item questionnaire translated into 13 languages, analysing 1049 complete responses from 50 countries and territories. Most respondents reported fundamental to advanced understanding of AI (86.5%) and believed it would improve clinical practice (80.2%), particularly in efficiency (53.5%), timeliness (52.0%), and effectiveness (44.0%). However, only 27.8% had used AI in practice, and 17.7% had received formal training. Mann-Whitney analyses showed that positive attitudes and formal training were associated with greater AI understanding, familiarity and usage (all p ≤ 0.008). In multivariable regression, physicians with formal training were more than three times as likely to use AI (adjusted OR 3.40; 95% CI 2.31-5.01; p < 0.001), and those working in institutions with AI technologies were more than eight times as likely (adjusted OR 8.43; 95% CI 5.74-12.34; p < 0.001). These findings indicate a persistent gap between awareness and adoption driven primarily by structural factors, particularly the absence of formal AI training and limited institutional investment in AI technologies.
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