Interpretable AI diagnostics for dyspnea in the emergency department by deep learning and a massive regional health care dataset

We developed an interpretable AI tool to support the diagnosis of adults with dyspnea at emergency department triage. Using complete data from an entire regional healthcare system, the model places clinical information in its temporal and medical context. It also identifies previously unknown diagnostic predictors and may contribute to more individualized care in the future.