Yohan Kim

The value of machine learning inference to predict multidisciplinary discussion diagnosis of interstitial lung diseases.

OBJECTIVES Multidisciplinary discussion (MDD) is the reference standard for diagnosing interstitial lung diseases (ILD), however, it requires considerable expertise, and up to 25% of patients remain unclassifiable. We evaluated whether machine learning (ML) models trained on multimodal data can accurately replicate MDD...