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Next-generation multicenter studies: using artificial intelligence to automatically process unstructured health records of patients with lung cancer across multiple institutions.

3/5 보강

Annals of oncology : official journal of the European Society for Medical Oncology 📖 저널 OA 21.4% 2022~2026 2026 Vol.37(4) p. 490-502 cited 1 Lung Cancer Diagnosis and Treatment

TL;DR In a multicenter setting, the feasibility of next-generation, AI-enabled multicenter studies to generate high-quality RWD at scale is supported, with potential applicability in prospective clinical trials.

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문

P · Population 대상 환자/모집단

327 patients with AI-based extraction, 311 were included in the test cohort.

I · Intervention 중재 / 시술

추출되지 않음

C · Comparison 대조 / 비교

추출되지 않음

O · Outcome 결과 / 결론

[CONCLUSIONS] In a multicenter setting, our AI pipeline yielded lower error rates and greater consistency than manual abstraction. These findings support the feasibility of next-generation, AI-enabled multicenter studies to generate high-quality RWD at scale, with potential applicability in prospective clinical trials.

OpenAlex 토픽 · Lung Cancer Diagnosis and Treatment Lung Cancer Research Studies Radiomics and Machine Learning in Medical Imaging

Aldea M, Zullo L, Levrat V, Bennouna J, Schneider S, Mercier O

PubMed ↗ DOI ↗ BibTeX ↓ RIS ↓

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