Work

273P AI-assisted extraction and analysis of prostate cancer data in a low-resource European setting: A single-center experience from Georgia

Year: 2025

Type: article

Source: ESMO Real World Data and Digital Oncology

DOI: 10.1016/j.esmorw.2025.100469

Authors: G. Vepkhishvili, E. Kekelia, M. Abuladze

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,170

Funders: Eli Lilly and Company, AstraZeneca, BeiGene

OpenAlex ID: W4416780966

FWCI:

Cites:

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