What Are the Challenges of Implementing Automated Processing in Cancer Care?
Despite its potential, implementing automated processing in cancer care comes with challenges, including:
Data Quality and Consistency: Ensuring the accuracy and standardization of input data is crucial for reliable AI predictions. Integration with Clinical Workflows: Seamlessly incorporating automated tools into existing healthcare systems can be complex and requires careful planning. Ethical and Legal Concerns: Issues related to patient privacy, data security, and the ethical use of AI in healthcare must be addressed.
