What are the Challenges of Implementing AI in Cancer Care?
Despite its potential, the implementation of AI in cancer care faces several challenges. One major issue is the need for high-quality, annotated data to train AI models. Additionally, there are concerns about the transparency and interpretability of AI algorithms, which are often seen as "black boxes." Ethical considerations, such as patient privacy and data security, also need to be addressed. Finally, there is a need for regulatory frameworks to ensure the safe and effective use of AI in clinical settings.
