430P: Privacy-preserving LLMs for automated clinical feature extraction: A real-world study in NSCLC EGFR-mutated patients
2025 · Journal of Thoracic Oncology · 0 citations
https://doi.org/10.1016/s1556-0864(25)00622-7
V
V. Peppoloni
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V. Peppoloni is an academic researcher from Fondazione IRCCS Istituto Nazionale dei Tumori. The author has contributed to research in topics: Topic Modeling & Machine Learning in Healthcare & Radiomics and Machine Learning in Medical Imaging. The author has an h-index of 1, co-authored 9 publications.
Papers by this author
worksMA06.07 Benchmarking CT Foundation Models for Survival Prediction in NSCLC Patients
2025 · Journal of Thoracic Oncology · 0 citations
https://doi.org/10.1016/j.jtho.2025.09.145
P2.15.34 Prompting and Medical Expertise Influence Large Language Model in Clinical Data Extraction: Findings From the APOLLO 11 Trial
2025 · Journal of Thoracic Oncology · 0 citations
https://doi.org/10.1016/j.jtho.2025.09.745
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