Revolutionary AI Predicts Patient Mortality Rates with Unprecedented Accuracy

Researchers at OSF HealthCare in Illinois have developed an artificial intelligence (AI) model that predicts a patient's risk of death within five to 90 days after admission to the hospital. The goal is to help physicians identify patients who have a higher chance of dying during their hospital stay and initiate important end-of-life discussions. The AI model, trained on a dataset of over 75,000 patients, showed that the mortality rate for patients flagged as more likely to die was three times higher than the average. While the AI tool is currently in use, experts caution that it should be paired with human interaction to ensure compassionate care and address potential risks such as false positives and data privacy concerns.