Closing the data gap: A fully automated AI pipeline for digitizing orthopedic paper records into structured registries

Objectives and questions: The digitization of paper-based medical documents presents significant challenges for healthcare institutions. Thousands of unstructured medical documents remain unused in hospital archives, despite containing valuable information for research and treatment optimization. This [for full text, please go to the a.m. URL]

Institutions

TUM Klinikum (DE)
Virtual Technology (United States) (US)
Technical University of Munich (DE)

Publication Details

Journal: German Medical Science (German Research Foundation)
Published: 2025-10-31
DOI: https://doi.org/10.3205/25dkou460
Primary Topic: AI in cancer detection
Type: article
Field-Weighted Citation Impact: 0.00

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article

Closing the data gap: A fully automated AI pipeline for digitizing orthopedic paper records into structured registries

Oct 31, 2025

German Medical Science (German Research Foundation)

AI in cancer detection

article

Closing the data gap: A fully automated AI pipeline for digitizing orthopedic paper records into structured registries

October 31, 2025article en

Abstract

German Medical Science (German Research Foundation)

TUM Klinikum (DE), Virtual Technology (United States) (US), Technical University of Munich (DE)

Openalex Percentile: Top 23%

AI in cancer detection

DOI Open Access PDF OpenAlex

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