Pretraining electronic health record (EHR) data using language models has enhanced performance across various medical tasks. Despite the potential of EHR pretraining models, predicting adverse drug ...
UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into readable narratives, allowing artificial intelligence to make sense of ...
Respiratory complications are major contributors to morbidity and mortality in trauma patients, yet conventional predictive models remain limited in scope and performance. We developed and validated ...
A new artificial intelligence (AI) model has been developed to predict how long a person with a learning disability is likely to stay in hospital, offering valuable insights that could improve care ...
The healthcare system is faced with a tsunami of incoming data. In fact, the average hospital produces roughly 50 petabytes of data every year. That’s more than twice the amount of data housed in the ...
Seoul National University Hospital and its affiliate hospitals have consolidated their common data model platforms. The consolidated, cloud-based platform enables collaboration among SNUH, Seoul ...
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