Question 1

Question

A research team develops an AI algorithm using 100,000 CT scans from multiple institutions. The algorithm shows excellent performance (AUC 0.96) but requires extensive computational resources. To deploy it in resource-limited settings, they propose model compression techniques. Evaluate the potential trade-offs and propose the most balanced approach.

Accepted Answer

Use knowledge distillation to train a smaller model that mimics the larger model while accepting minimal performance decrease

Answer

Model compression always maintains performance while reducing size

Answer

Avoid compression as any performance loss is unacceptable in medical AI

Answer

Random pruning of neural network connections is sufficient

Artificial Intelligence in Radiology — MCQs

Artificial Intelligence in Radiology — MCQs

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