Jenny C. Chang։ AI Identifies Hidden Patterns in Bloodstream Infections
Jenny C. Chang, President and CEO of Houston Methodist Academic Institute, and EVP and Chief Academic Officer at Houston Methodist, shared a post on LinkedIn:
“A new Houston Methodist study, published in the American Journal of Transplantation and led by Masayuki Nigo, associate professor of medicine, found that artificial intelligence can assist in identifying previously unseen infection patterns.
Patients with bloodstream infections – including solid organ transplant recipients – are not clinically uniform despite sharing the same diagnosis.
Dr. Nigo noted, ‘Using routinely collected data from the first 48 hours of infection, we identified three distinct clinical patterns based on patient characteristics, illness severity, and organ support through a machine learning-based clustering approach.’
We appreciate the contributions of our outstanding research team and collaborators.”
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