An AI System Catches Sepsis Hours Earlier than Traditional Methods - Medical Device and Diagnostics Industry
7/29/2022 12:00:00 AM3 years 7 months ago
The system scours medical records and clinical notes to identify patients at risk of life-threatening complications.
An extensive hospital study, published in Nature Medicine and Nature Digital Medicine, shows that patients are 20% less likely to die of sepsis because a new AI system developed at Johns Hopkins Univ… [+2533 chars]
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