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Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare

Medicine and Health

Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare

K. H. Goh, L. Wang, et al.

Sepsis is a critical condition that can lead to death, but the newly developed SERA algorithm offers hope! Created by a team of researchers including Kim Huat Goh and Le Wang, this AI-driven tool predicts and diagnoses sepsis with impressive accuracy, utilizing both structured data and unstructured clinical notes. Early detection could increase by up to 32% and reduce false positives, paving the way for better patient outcomes.

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