Kun-Hsing Yu

Jan 8, 2025 | nature.com | Jinxi Xiang |Xiyue Wang |Colin Bergstrom |Kun-Hsing Yu |Jeffrey J. Nirschl |Joel W Neal | +1 more

AbstractClinical decision-making is driven by multimodal data, including clinical notes and pathological characteristics. Artificial intelligence approaches that can effectively integrate multimodal data hold significant promise in advancing clinical care1,2. However, the scarcity of well-annotated multimodal datasets in clinical settings has hindered the development of useful models.

May 29, 2023 | onlinelibrary.wiley.com | Feicheng Wang |Nathan Palmer |Katherine P Liao |Kun-Hsing Yu

Abstract Rheumatoid arthritis (RA) affects 24.5 million people worldwide and has been associated with increased cancer risks. However, the extent to which the observed risks are related to the pathophysiology of rheumatoid arthritis or its treatments is unknown. Leveraging nationwide health insurance claims data with 85.97 million enrollees across 8 years, we identified 92 864 patients without cancers at the time of rheumatoid arthritis diagnoses.