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  "notes": "Figure 7. Net excitement = % excited minus % concerned.",
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      "text": "Advancing AI in healthcare requires a balanced approach that promotes trust, collaboration and regulatory agility. Establishing flexible regulatory frameworks, integrating human oversight and ensuring transparency are essential to addressing public concerns and building confidence in AI technologies. Both public and private stakeholders have a role in developing adaptable guidelines and standards that keep pace with AI advances. Additionally, promoting data-sharing while protecting privacy and encouraging sustainable business models can enhance AI's impact on health. By aligning strategies and maintaining a focus on ethics and public good, AI can be confidently used to improve global healthcare outcomes.",
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      "text": "Companies need to show that they have the expertise to build reliable AI technologies that deliver on promises and achieve tangible results. For instance, a BCG survey conducted in April 2024 revealed that 20% of cardiologists do not adopt digital tools due to the lack of sufficient insights to support comprehensive clinical decision-making. This highlights the need for businesses to ensure that their AI solutions meet the high standards required by health professionals. Reliability, marked by consistent performance and dependability, is vital to meet expectations and fulfil commitments. Businesses also need to show benevolence - genuine care for the interests and well-being of others. By acting with the best interests of patients, providers and other stakeholders in mind, companies can promote positive relationships and build trust. Lastly, shared values between businesses and their stakeholders are essential. Mutual understanding and agreement on core principles provide a solid foundation for collaboration and acceptance of AI technologies.",
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