<ul><li>AI is revolutionizing healthcare by enhancing patient care and addressing administrative burdens.</li><li>Trust, governance, and ethical implementation are crucial for the success of AI in healthcare.</li><li>Establishing strong foundational elements is essential for AI in healthcare to reach its full potential.</li><li>Google Cloud's Aashima Gupta emphasizes the importance of trust in AI adoption in healthcare.</li><li>Accenture's Nneka Emegwa and Aashima Gupta discuss trust in AI adoption, addressing ethical concerns, and AI-driven digital agents in healthcare.</li><li>Trust is the cornerstone of AI adoption in healthcare, ensuring reliable and transparent AI-driven decisions.</li><li>Establishing AI principles, governance frameworks, and evaluation criteria is key in healthcare.</li><li>AI in healthcare can help identify and mitigate bias in healthcare data for equitable care access.</li><li>Continuous evaluation and oversight are crucial in addressing bias in AI-driven insights.</li><li>The future of AI in healthcare includes smarter systems and AI-driven digital agents enhancing patient care.</li></ul>

Building trust in AI: The key to healthcare’s digital transformation

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