The extensive adoption of artificial intelligence in clinical decision support systems requires greater model interpretability. Hence, we introduce EvolveFNN, an interpretable model based on the ...

Biases in the data are implicitly carried by machine learning. Diagnostic algorithms and practice guidelines that modify or “correct” their outputs based on a patient's race/gender are one covert way ...

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 ...