While the method employed maintains objectivity, it is crucial to acknowledge the potential for inconsistent model rankings. This inconsistency arises from the diverse emphasis and clinical significance attributed to each accuracy index. Consequently, the evaluation results may vary based on the prioritized index, leading to complexities in the clinical evaluation and subsequent deployment of the model. This underscores the need for a standardized framework that considers the clinical implications of each accuracy index, thereby mitigating ranking discrepancies and facilitating a more streamlined and robust model deployment process in clinical settings.

Challenges in Clinical Model Evaluation: Addressing Inconsistent Rankings Due to Varying Accuracy Index Emphasis

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