Two papers accepted at CHIL and LREC

Yeji X's research team, led by Research Director Dr. Jong-hak Moon, had two papers accepted at CHIL and LREC — international conferences spanning clinical AI and natural language processing.

The CHIL paper, developed with KAIST, Microsoft Research Health Futures, and Seoul National University Hospital, introduces a benchmark for structuring serial chest X-ray reports over time to model how a patient's condition is progressing — foundational work for sharpening the precision of the company's readmission-risk models.

The LREC paper tackles a different problem: precisely interpreting uncertainty and implicit reasoning in radiology reports, where language like "possible" or "cannot exclude" carries clinical meaning that's easy for a model to flatten.