Abulibdeh et al. show how redesigning clinical natural language processing around fairness and context can improve both accuracy and equity. Their model reads clinical notes by structure, not scale, outperforming transformers while exposing where algorithmic bias persists in healthcare AI.
- Rawan Abulibdeh
- Yihang Lin
- Karen Tu
