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Author

Ansgar Grunseid

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
Preprint Aug 2026

Benchmarking Confidential Computing Performance on NVIDIA Blackwell GPUs

This paper measures the performance impact of running large language model inference and training inside a Trusted Execution Environment (TEE) on NVIDIA B200 GPUs, using Intel Trust Domain Extensions (TDX) confidential VMs together with NVIDIA Confidential Computing (CC) on Blackwell GPUs. The performance impact is der...

Amean Asad, Ansgar Grunseid · 0 citations

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