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Oct 2026

Adjusted trend analysis in the adoption and outcomes of minimally invasive pancreaticoduodenectomy approaches: over a decade of contemporary U.S. data.

Over the study period, OPD declined while MIPD adoption increased substantially, driven primarily by rapid growth in RPD, which may reflect increasing institutional experience and maturation of the technique.

L. Foroutani, Allison Chang, Architha Kannan et al. · 0 citations
#human-computer interacti... Preprint Sep 2026

"I Know Where to Look,"But Does the LLM? Charting the Gaps Between Clinical Expert Needs and Unstructured Data Abstraction Tools

While clinicians knew where and how to annotate complex concepts in patient notes, in twelve of fourteen tasks they faced barriers to replicating those intuitions with LLMs, which highlighted open problems for HCI research to bridge the gaps between AI data work tools and clinical users' needs.

Venkatesh Sivaraman, Rigney E. Turnham, G. Bonano et al. · 0 citations
Preprint Aug 2026

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement

This work proposes expert-guided g-computation, or egg-computation, which combines the complementary strengths of both approaches by connecting the Gantt charts commonly used to map patient trajectories with the causal DAG literature, and develops an LLM-assisted pipeline that reliably scales up expert reasoning.

Patrick Vossler, Jialin Ouyang, F. Guo et al. · 0 citations
Open access Aug 2026

Assessing acuity in pediatric emergency department triage: performance of a large language model

The GPT-5-mini LLM showed moderate overall accuracy in assessing pediatric acuity and demonstrated a tendency to prioritize younger children, similar to human performance, which highlights the need for pediatric-specific LLM evaluation and optimization before clinical use.

Kush Narang, N. Addo, Christopher Y. K. Williams et al. · 0 citations

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