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Hai-Hua Bao

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Open access Sep 2026

An interpretable machine learning model for predicting prognosis in acute ischemic stroke with large vessel occlusion

Objective To develop and validate an interpretable nomogram that integrates an imaging score, clinical characteristics, and machine-learning models to predict 90-day functional outcomes in patients with acute ischemic stroke (AIS) and large-vessel occlusion (LVO). Methods We analyzed 240 AIS patients with anterior circ...

Meng Li, Jia Wei, G. Lu et al. · 0 citations
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. · 0 citations

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