Externally Tested AI Model Sets Realistic Benchmark for Lung Nodule Classification in Screening

Externally tested AI classifies lung nodules with high accuracy, supporting generalizability for screening. This benchmark study underscores the need for external validation before clinical deployment. (Exact metrics not reported in source.)

• Retrospective diagnostic accuracy study providing a realistic benchmark for AI in lung nodule classification; sample size not specified in snippet.
• External validation confirmed model robustness, but prospective clinical trials are still required to assess impact on screening outcomes.
• Key limitation: retrospective design, with unknown diversity of the external test set.

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