Objective:

To clarify the methodology regarding the reference standard used in the study on AI-driven cystoscopy.

Approach:

Key Findings:

• The final consensus diagnosis was based on both expert review and source-provided diagnostic information.
• The study aimed to evaluate model-generated cystoscopic interpretation rather than revalidate original pathological diagnoses.

Interpretation:

Histopathology remains the definitive standard for pathological lesion classification.

Limitations:

• The study does not independently re-establish or revalidate the original pathological diagnosis of each image.

Conclusion:

The study serves as an image interpretation and reasoning benchmark based on pre-existing diagnostic information.

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