Despite the advancements in AI, its adoption in clinical practice remains limited. Challenges include the need for a problem-driven, human-centered approach to building effective AI systems in healthcare, ensuring proper training and integration with existing healthcare processes, and addressing concerns around data privacy and security. Additionally, there is a need for further research and validation of AI algorithms to ensure their accuracy and reliability in real-world clinical scenarios.