Clinical Decision-Making: Clinicians rely on interpretable models to make informed decisions about cancer treatment plans. Patient Understanding: Patients need to understand their diagnosis and treatment options to make informed healthcare choices. Research and Development: Researchers need interpretable data to develop new cancer therapies and understand the underlying mechanisms of the disease. Regulatory Approval: Regulatory bodies require explicable models to approve new treatments and diagnostic tools.
