Fig. 5: Boxplots illustrating the importance of precordial leads in the AI-ECG’s decision-making process. | npj Digital Medicine

Fig. 5: Boxplots illustrating the importance of precordial leads in the AI-ECG’s decision-making process.

From: Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study

Fig. 5

Results are categorized by predicted aging effects. Each boxplot shows how relevant each precordial lead was in determining whether an ECG was classified as “Overestimation,” “Correct Prediction,” or “Underestimation” based on the AI's aging predictions. This visualization helps to understand which specific leads contributed most to the AI's assessment of aging effects in the ECG recordings.

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