AI is achieving superhuman performance in detecting diseases from X-rays and MRIs. However, the "black box" nature of deep learning models poses ethical questions.
Explainability
Doctors need to know why a model made a prediction. Techniques like Grad-CAM are essential to build trust.
Data Bias
Models trained on data from one demographic may not perform well on others. Ensuring diverse datasets is critical for ethical medical AI.