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<p>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 <i>p</i> ≤ 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; <i>p</i> &lt; 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; <i>p</i> &lt; 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.</p>

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Global physician perspectives on artificial intelligence in healthcare across 50 countries and territories

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月13日

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  • Bayarbaatar Bold,
  • Oguzhan Serin,
  • Lukitaningrum Tantri Adhiatma,
  • Suvd-Erdene Demberel,
  • Choni Wangmo,
  • Ristania Ellya John,
  • Luis Daniel Gatti Pineda,
  • Chitsanupong Ratarat,
  • Nisachon Tongtip,
  • Mohammed Shakeebuddin Kashif,
  • Nicole Kessa Wee,
  • Farhana Fadzli,
  • Urooj Kanwal,
  • Trang Ngọc Nguyễn,
  • Bunta Tokuda,
  • Weiyi Li,
  • Phathayphout Phetvilay,
  • Naw Paw Say Wah,
  • Ravinath Kannangara,
  • Priscilla Akyaa Kyei-Baffour

摘要

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.