Generative AI in Healthcare
“Researchers at NYU Langone collaborated with NVIDIA to develop a large language model (LLM) that predicts a patient’s risk of readmittance within 30 days, along with other clinical outcomes. Dubbed NYUTton, the model seeks to identify patients in need of clinical intervention. The tool has been rolled out in the NYU health system’s six inpatient facilities and applied to over 50,000 patients. Through email notifications, physicians are notified of patient readmission risk. Researchers used 10 years of health records at NYU Langone Health to train NYUTron with 4 billion words of clinical notes representing 400,000 patients. Through the technique, the model achieved an accuracy improvement of over 10% percent when compared to other machine learning models, according to the health system. Upon completing the LLM training, the team spun out four other predictive algorithms which predict the patient’s hospital stay, the likelihood of mortality and the chances of insurance claims being denied.” MORE
Image Credit: FierceHealthcare.com