Anesthesiologist-level forecasting of hypoxemia with only SpO2 data\n using deep learning

Abstract

We use a deep learning model trained only on a patient's blood oxygenation\ndata (measurable with an inexpensive fingertip sensor) to predict impending\nhypoxemia (low blood oxygen) more accurately than trained anesthesiologists\nwith access to all the data recorded in a modern operating room. We also\nprovide a simple way to visualize the reason why a patient's risk is low or\nhigh by assigning weight to the patient's past blood oxygen values. This work\nhas the potential to provide cutting-edge clinical decision support in\nlow-resource settings, where rates of surgical complication and death are\nsubstantially greater than in high-resource areas.\n

Ähnliche Arbeiten