Author

Xue-Feng Leng

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Open access Aug 2026

PD08.07. Multimodal AI-Driven Postoperative Surveillance for Oesophageal Cancer: Automated Patient-Reported Outcome Assessment and Early Complication Warning in a Prospective Study

An end-to-end multimodal AI system can accurately automate PRO assessment from natural patient conversations and provide clinically meaningful early warning for postoperative complications, with external validation confirming generalisability across cohorts.

Si-miao Lu, Yi Zhu, Yong-Tao Han et al. · Diseases of the esophagus · 0 citations

Review Aug 2026

P1.070. Exploring the Association Between Month of Esophagectomy and Long-Term Survival Outcomes : a Large-Scale Survival Study Combined Questionnaire Survey Analysis

Surgical timing, particularly esophagectomy performed in February, is associated with inferior long-term survival in ESCC patients, and concurrent low burnout levels during this period suggest that reduced surgical volume and altered case selection during the holiday season, rather than staff fatigue, may underlie this...

Si-miao Lu, Yi Zhu, Yong-Tao Han et al. · Diseases of the esophagus · 0 citations

Open access Aug 2026

P1.064. Limitations of Preoperative Prediction Models for Complications After Esophagectomy: A Multi-Center Analysis

Standard preoperative variables are insufficient for individualized risk stratification of RLNP, anastomotic leak, or vocal cord palsy after esophagectomy, and improved prediction will require prospective integration of real-time intraoperative data.

Si-miao Lu, Yi Zhu, Yong-Tao Han et al. · Diseases of the esophagus · 0 citations

#protein folding Aug 2026

OA01.4. Multimodal Early Warning System for Postoperative Complications After Esophagectomy: Integrating Patient-Reported Outcomes, Laboratory Trajectories, and Clinical Text Mining

A multimodal early warning system integrating PROs, laboratory trajectories, and large language model-extracted clinical text features to enable real-time, automated complication surveillance substantially outperforms single-modality approaches for detecting postoperative complications after esophagectomy.

Si-miao Lu, Yi Zhu, Yong-tao Han et al. · Diseases of the esophagus · 0 citations

#protein folding Open access Aug 2026

P1.069. Distinct Postoperative CRP Trajectory Patterns and Their Association With Complication Severity Following Esophagectomy

Postoperative CRP trajectory patterns are significantly associated with complication severity after esophagectomy, and the High-Persistent trajectory identifies a high-risk subgroup, and the D3/D1 ratio enables early risk stratification by POD 3.

Si-miao Lu, Yi Zhu, Yong-tao Han et al. · Diseases of the esophagus · 0 citations

#protein folding Aug 2026

P1.062. Discovery of Novel Dual-Target Inhibitors for EGFR and PIK3CA From Natural Products via Machine Learning and Molecular Simulation

The natural product compounds CNP0456830 and CNP0467494 exhibited the lowest binding free energies for both EGFR and PIK3CA, identifying them as the most promising dual-target inhibitors.

Si-miao Lu, Yi Zhu, Yong-Tao Han et al. · Diseases of the esophagus · 0 citations