Mammogram-based AI risk assessment in patients with dense breasts undergoing supplemental molecular breast imaging.

Although the comparisons did not reach statistical significance, the greatest separation occurred in grade 2 tumors (P = 0.089), suggesting that the model may capture imaging features associated with biologically relevant tumor aggressiveness.

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While not statistically significant, the AI model showed a trend towards greater separation between the groups ( Table 1 ).

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