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March 12, 20260 citationsOpen Access

Tattoo-Based Emergency Patient Identification: Extending Medical AI Diagnostics Beyond Imaging — Evidence from Ukraine's National Registry

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OIOleh IvchenkoDGDmytro Grybeniuk Dmytro Grybeniuk

Key Points

  • The aim is to explore how tattoos can serve as reliable identifiers in emergency medicine using AI technology.
  • Analyzed the integration of tattoo identification into emergency medical processes
  • Developed a technical framework for feature extraction
  • Implemented similarity matching within ScanLab AI platform
  • Demonstrated effective automated tattoo identification for patient recognition
  • Highlighted increased accuracy in emergency situations using tattoos as identifiers

Abstract

Examines the intersection of computer vision, emergency medicine, and forensic identification through Ukraine's 2026 national tattoo identification service. Presents a technical framework for automated feature extraction and similarity matching integrated into the ScanLab medical AI platform.

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Cite This Study

Ivchenko et al. (2026) studied this question.

synapsesocial.com/papers/69b2589696eeacc4fcec85c7https://doi.org/10.5281/zenodo.18929668
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