Challenges associated with implementing AI in healthcare include issues related to data privacy, regulatory compliance, and integration with existing systems. Healthcare data is sensitive and subject to strict regulations, so ensuring compliance is critical. Additionally, the quality and availability of training data may affect AI performance, leading to potential bias or inaccuracies. There's also the need for stakeholder acceptance and addressing the resistance to change among healthcare professionals accustomed to traditional methods.