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-::: {.annotation .annotation--collapsible}
-**KEY POINTS**
-
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+<div class="annotation-header">
+<span class="annotation-label">Summary</span>
+<span class="annotation-name">Key points</span>
+</div>
+<div class="annotation-body">
 **Question.** Among adult hospitalizations in a national claims database, does a deep learning model using ICD-10-CM diagnosis codes improve prediction of 30-day unplanned readmission and 30-day postdischarge in-hospital mortality compared with benchmark models based on Charlson and Elixhauser comorbidity indices?
 
 **Findings.** In this cohort study of 3,226,831 temporally held-out discharges, the ICD-10-CM--based model showed better discrimination than benchmark comorbidity-index models for both outcomes.
 
 **Meaning.** Using the full set of discharge diagnosis codes may improve short-term claims-based outcome prediction beyond summary comorbidity indices.
+</div>
 :::
 
 ## Introduction (Background and Significance)