Work

Using Consensus-Based Reasoning and Large Language Models to Extract Structured Data From Surgical Pathology Reports

Year: 2025

Type: article

Source: Laboratory Investigation

DOI: 10.1016/j.labinv.2025.104272

Authors: Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Ehsan Ullah, Asma Khan, Farah Khalil, Wei-Shen Chen, Zarifa Gahramanli Ozturk, Daryoush Saeed-Vafa, Marilyn M. Bui, Matthew B. Schabath, Ghulam Rasool

Institutions: Moffitt Cancer Center, The Ohio State University, Armed Forces Institute of Pathology, University of South Florida

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Science Foundation, Florida Department of Health, Moffitt Cancer Center, National Institutes of Health, National Cancer Institute

Awards: G1267726076, PFI-TT: Trustworthy Artificial Intelligence for the Volumetric Evaluation of Brain Tumors, SCenE - Self-Assessment and Continual Learning on Edge Devices, Moffitt Cancer Center Support Grant

OpenAlex ID: W4417524005

FWCI: 0.758

Cites: 25

Cited by: 3

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