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English(EN) Prepared Or Unprepared? Evaluating Healthcare Workforce Readiness for Clinical Adoption of Artificial Intelligence in Nigeria

尼日利亚医护人员对AI认知度高但准备度低

尼日利亚的一项研究发现,尽管医疗专业人员对医疗领域的人工智能具有高度认知,但他们的客观知识和准备程度却很有限。该研究于2025年12月至2026年3月期间对761名专业人员进行,揭示了在培训、基础设施以及对失业和数据隐私的担忧方面存在显著差距。尽管存在这些障碍,但人们对AI教育和应用的兴趣浓厚,这凸显了在资源受限环境下弥合准备差距的干预措施的迫切需求。 AI

影响 强调了低收入和中等收入国家(LMICs)医疗工作者在采纳AI方面准备程度的关键差距,并强调了有针对性的培训和基础设施投资的必要性。

排序理由 关于AI在医疗保健领域应用的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

尼日利亚医护人员对AI认知度高但准备度低

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关于AI在医疗保健领域应用的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Abbas M. Rabiu, Abdulrazaq A. Zubair, Um-mulkhairi Ibrahim, Tolulope Olusuyi, Shaheeda Farouq, Safwan M. Dafi, Adaobi C. Emegoakor, Yewande Gbadamosi, Maruf Adewole ·

    准备好了还是没准备好?评估尼日利亚医疗劳动力对人工智能临床应用的准备情况

    arXiv:2609.19096v1 Announce Type: cross Abstract: Artificial intelligence (AI) is increasingly integrated into healthcare systems worldwide, yet its successful clinical adoption depends critically on workforce readiness, particularly in low- and middle-income countries (LMICs) wh…