The experiment would involve sourcing a dataset of medical records with known diagnoses and symptoms. A supervised learning algorithm would be trained to use the dataset to classify cases. The trained algorithm would then be tested on a separate dataset of medical cases with known diagnoses to compare the accuracy of the AI model against an experienced medical professional.
Design an experiment to test if artificial intelligence can improve medical diagnosis accuracy.