DBDS Professor Nigam Shah assesses the state of AI in healthcare and encourages executives to think beyond the model.
DBDS faculty researcher Suzanne Tamang [pictured here] and her colleagues from Oak Ridge National Laboratory’s Department of Energy published a research article in PLoS One on using clinical notes in combination with structured data for the prediction of ICU outcomes.
DBDS faculty researcher Nima Aghaeepour and colleagues “have led a national study showing that a blood-based test they developed can predict which patients are at higher risk of surgical complications, such as infection, and therefore will benefit the most from getting in shape for an upcoming surgery.”
“AI can reveal remarkable medical insights, but only if patients and doctors have faith in it. Thus, trust has become AI’s singular goal, says this expert in the field.” Russ Altman hosts this Future of Everything podcast episode.