Author

Lie Ju

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Open access Aug 2026

Developing a scalable pipeline for data extraction from clinical letters through resource-efficient prompt engineering

This work introduces a scalable, resource-efficient, and high-performance information extraction pipeline that leverages large language models (LLMs) to address challenges of free-text clinical records and develops a multi-dimensional assessment for deployment in data extraction tasks.

A. Y. Ong, Quang Nguyen, I. Barai et al. · npj Digital Medicine · 1 citation

Open access Jul 2026

Physicians and artificial intelligence diverge in evaluating large language models on real clinical cases.

While AI agents delivered highly efficient, directionally aligned assessments, they did not fully capture the nuances of human clinical judgment and could not substitute for physician-centered evaluation and promise assistive tools that can triage or pre-screen outputs to reduce human burden.

Peilun Shi, Jian Li, Ziqi Yang et al. · npj Digital Medicine · 0 citations