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Bridging the gaps: Overcoming challenges of implementing AI in healthcare
Xiaoyun Huang1, Lei Gu2, Jian Sun3
1Intelliphecy Center for Systems Medicine, Intelliphecy, Shenzhen, China.
Abstract:
Artificial intelligence (AI) in healthcare promises transformative advancements, from enhancing diagnostics to optimizing personalized treatments. Realizing its full potential, however, requires addressing key challenges, including explainability, bias & fairness, infrastructure, privacy, security, as well as ethical, regulatory and educational challenges. Bridging these gaps is essential to ensure AI's equitable and effective integration into clinical practice.
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