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Search Results - karl+schulz
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Machine learning system for safer childbirth outcomes
A computer system uses machine learning to predict the likelihood of a Cesarean delivery by analyzing up to 22 pregnancy-related characteristics. This technology aids in clinical decision-making, potentially reducing risks and costs associated with unplanned Cesarean sections. Background Unplanned Cesarean sections (C-sections) present significant...
Published: 10/15/2024
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Inventor(s):
Radek Bukowski
,
Karl Schulz
Keywords(s):
Category(s):
Life sciences > Medical technology > TechBio (software innovation in healthcare)