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  "documentTitle": "Future of AI-Enabled Health",
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      "text": "By addressing these challenges, stakeholders can unlock the full potential of AI to transform global health, ensuring resilient, efficient and equitable health systems for all.",
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      "text": "Complexity of AI in health deterring policy-makers and business leaders: Lack of understanding of AI's value in health; Complexities in securing AI financing; Fragmented coordination of AI implementation in health",
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      "text": "Low confidence in AI within a fragmented regulatory and governance framework: Fragmented, outdated regulations that hinder AI innovation; Difficulty of building trust within a complex ecosystem",
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      "text": "Misalignment of technical choices with strategic visions: Inequitable access to AI health solutions due to inadequate DPIs; Limited digital literacy efforts for leaders and decision-makers",
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      "text": "Beyond these structural constraints, experts identified three core challenges that must be overcome, particularly through collaboration between the public and private sectors: 1. Complexity of AI in health deterring policy-makers and business leaders... 2. Misalignment of technical choices with strategic visions... 3. Low confidence in AI within a fragmented regulatory and governance framework...",
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      "text": "Source: Digital Healthcare Transformation Initiative dialogues, Boston Consulting Group and World Economic Forum analysis",
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      "text": "Three key challenges that must be overcome to implement AI at scale",
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