Skip to main content

Status message

You must login before you can repin.


Traditional machine learning models—especially complex ones like deep neural networks—often operate as “black boxes.” They take input (such as imaging data or lab results) and produce output (like a diagnosis or risk score) without offering a clear rationale behind the decision. This lack of transparency poses serious risks in medical settings where accountability, ethics, and patient safety are paramount.