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Author

M. Siavoshi

2 papers indexed here

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Review Sep 2026

Large Language Model Data Abstraction Demonstrates Accuracy and Reliability for NSQIP.

BACKGROUND National Surgical Quality Improvement Program (NSQIP) data collection depends on labor-intensive manual chart abstraction, limiting efficiency, increasing cost, and necessitating patient sampling. This study evaluated whether a large language model (LLM) could accurately abstract unstructured NSQIP breast re...

Tahera Alnaseri, Yasmine Ibrahim, Ansgar Grunseid et al. · 0 citations
Open access Aug 2026

Psychosocial Stress and Allostatic Load Among Underrepresented Minority Women with Familial Cancer Risk

Elevated AL among understudied racial/ethnic minority groups with familial cancer risk is demonstrated and identifies associations with neighborhood deprivation, depression, and physical activity and suggests that physiologic stress may reflect variation in cancer burden.

E. Shachar, R. Haas, V. E. Rodriguez et al. · 0 citations

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