Lan Qin

Application Status and Prospect of Artificial Intelligence in Neurosurgery

2022 · 1 Zit.

Assessing performance, calibration, and explainability of machine learning versus traditional models for early outcome prediction after spontaneous intracerebral hemorrhage: a systematic review and meta-analysis protocol

2026 · 0 Zit. · Systematic Reviews

Additional file 2 of Assessing performance, calibration, and explainability of machine learning versus traditional models for early outcome prediction after spontaneous intracerebral hemorrhage: a systematic review and meta-analysis protocol

2026 · 0 Zit. · Figshare

Additional file 1 of Assessing performance, calibration, and explainability of machine learning versus traditional models for early outcome prediction after spontaneous intracerebral hemorrhage: a systematic review and meta-analysis protocol

2026 · 0 Zit. · Figshare

Development and Validation of a Deep Learning Model to Predict Intracranial Aneurysm Instability: A Multicenter, Ambispective, Longitudinal Study

2023 · 0 Zit. · SSRN Electronic Journal

Additional file 1 of Assessing performance, calibration, and explainability of machine learning versus traditional models for early outcome prediction after spontaneous intracerebral hemorrhage: a systematic review and meta-analysis protocol

2026 · 0 Zit. · Figshare

Additional file 2 of Assessing performance, calibration, and explainability of machine learning versus traditional models for early outcome prediction after spontaneous intracerebral hemorrhage: a systematic review and meta-analysis protocol

2026 · 0 Zit. · Figshare