Rapid Clinical Evidence Explorer: A Generative Pre-Trained Transformer–Powered Tool for Automated Oncology Evidence Extraction

RaCE-X enables efficient GPT-based abstract screening, structured information extraction, and research trend exploration, thereby facilitating the summary of clinically relevant evidence from the biomedical literature. This study demonstrates the feasibility of using LLMs to reduce manual workload and accelerate evidence-based research practices.

Authors

Hyeoneui Kim (ORCID: https://orcid.org/0000-0002-5931-7286)
Byeol Yi Kim (ORCID: https://orcid.org/0009-0008-8875-1111)
Eunyoung Im (ORCID: https://orcid.org/0000-0002-1951-0989)
Sunghoon Kang (ORCID: https://orcid.org/0009-0003-8133-0895)

Institutions

Seoul National University (KR)
Seoul National University Hospital (KR)
National University College (PR)

Publication Details

Journal: JCO Clinical Cancer Informatics
Published: 2025-12-01
DOI: https://doi.org/10.1200/cci-25-00233
Primary Topic: Biomedical Text Mining and Ontologies
Type: article
Field-Weighted Citation Impact: 0.00

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article

Rapid Clinical Evidence Explorer: A Generative Pre-Trained Transformer–Powered Tool for Automated Oncology Evidence Extraction

Hyeoneui Kim, Byeol Yi Kim, Eunyoung Im, Sunghoon Kang

Dec 1, 2025

JCO Clinical Cancer Informatics

Biomedical Text Mining and Ontologies

article

Rapid Clinical Evidence Explorer: A Generative Pre-Trained Transformer–Powered Tool for Automated Oncology Evidence Extraction

Hyeoneui Kim, Byeol Yi Kim, Eunyoung Im, Sunghoon Kang

December 1, 2025article en

Abstract

RaCE-X enables efficient GPT-based abstract screening, structured information extraction, and research trend exploration, thereby facilitating the summary of clinically relevant evidence from the biomedical literature. This study demonstrates the feasibility of using LLMs to reduce manual workload and accelerate evidence-based research practices.

JCO Clinical Cancer InformaticsVol. 9(9)

Seoul National University (KR), Seoul National University Hospital (KR), National University College (PR)

Openalex Percentile: Top 65%

Biomedical Text Mining and Ontologies

DOI Source OpenAlex

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Rapid Clinical Evidence Explorer: A Generative Pre-Trained Transformer–Powered Tool for Automated Oncology Evidence Extraction — Hyeoneui Kim, Byeol Yi Kim, et al. · JCO Clinical Cancer Informatics (2025) | TGRS Research Map | TGRS