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<p>This feasibility study explores the application of a dermatology-based 3D full-body scanning system (VECTRA WB360) combined with artificial intelligence (AI) software for forensic documentation. The system generates high-resolution, color-accurate 3D avatars within minutes, enabling automated detection, localization, and measurement of simulated injuries. AI-assisted analysis reliably identified cutaneous findings, including in anatomically challenging regions, and displayed them in an interactive forensic dashboard. Advantages include speed, standardization, and anatomically precise localization. Limitations concern dermatology-focused training data, motion artifacts, and costs. With forensic-specific AI modules and validation, this approach may significantly improve efficiency, objectivity, and admissibility in forensic medicine.</p>

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Forensic 3D avatars - AI-assisted injury detection and interactive digital-twin visualization

  • 期刊论文

  • 发表日期：

    2026年3月2日

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  • Michael Thali,
  • Alexander Braun,
  • Ralph P. Braun,
  • Mia Hannah Thali,
  • Dominic Gascho

摘要

This feasibility study explores the application of a dermatology-based 3D full-body scanning system (VECTRA WB360) combined with artificial intelligence (AI) software for forensic documentation. The system generates high-resolution, color-accurate 3D avatars within minutes, enabling automated detection, localization, and measurement of simulated injuries. AI-assisted analysis reliably identified cutaneous findings, including in anatomically challenging regions, and displayed them in an interactive forensic dashboard. Advantages include speed, standardization, and anatomically precise localization. Limitations concern dermatology-focused training data, motion artifacts, and costs. With forensic-specific AI modules and validation, this approach may significantly improve efficiency, objectivity, and admissibility in forensic medicine.