Portrait de Yujing Zou

Yujing Zou

yujing.zou@mila.quebec
Doctorat - McGill
Superviseur⋅e principal⋅e
Shirin A. Enger
Sujets de recherche
Apprentissage automatique médical
Apprentissage multimodal
Apprentissage profond
Vision par ordinateur
Site web
Google Scholar
GitHub

Publications

Prognostic data extraction harnessing a privacy-preserving large language model: a clinician-AI collaborative retrospective evaluation in head and neck oncology
Yujing Zou
Laya Rafiee Sevyeri
Farhood Farahnak
George Shenouda
Marie Duclos
Tomás Yokoo Teodoro de Souza
Khalil Sultanem
Parsa Bagherzadeh
Farhad Maleki
Shirin A. Enger
Privacy regulations and limited expert-validation constrain the deployment of large language models (LLMs) for electronic health record stru… (voir plus)cturing. We evaluated locally deployed LLMs to extract 30 prognostic variables from 1,360 head and neck cancer reports (882 patients) using zero-shot prompting. A stratified 50-case subset was reviewed by three radiation oncologists (50 cases, 30 fields, 3 reviewers; 4,500 decisions) to form a majority-vote reference for Llama3.3-70B, which achieved 98.6% F1 with high clinician agreement and processed reports in 53 s/report. Among seven additional models (2.6B-70B) benchmarked against this reference, GPT-OSS-20.9B (F1 89.4%) and MedGemma-27B (F1 88.5%) performed best. Integrating LLM-extracted HPV status, smoking history, and Charlson Comorbidity Score into a multivariate Cox Proportional Hazards model (age, sex, T/N stage) improved disease-free survival (likelihood ratio test p = 0.014; ΔC-index + 0.071) and locoregional failure-free survival (p = 0.026; ΔC-index + 0.108) with 1,000-bootstrap internal validation. This clinician-AI collaborative evaluation shows that on-premises LLMs enable privacy-preserving and efficient tumour board support, longitudinal data curation, and outcome prediction.
2026-06-05
npj Precision Oncology (publié)
doi.org
256 Patient-Specific Pre-Treatment Nuclei Size Distribution is of Significance for Post Radiation Therapy Locoregional Recurrence and Survival Outcomes
Yujing Zou
Magali Lecavalier-Barsoum
Manuela Pelmus
Farhad Maleki
S. Enger
2023-08-31
Radiotherapy and Oncology (publié)
doi.org