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Applying Computational Intelligence in medical forensics.

Dionysios Koulouris1, Dimitrios Kalathas1, Andreas Menychtas1

  • 1Department of Digital Systems, University of Piraeus, Karaoli ke Dimitriou 80, Piraeus, 18534, Attica, Greece.

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Summary
This summary is machine-generated.

This study introduces an AI-powered system to optimize medical forensics processes. The intelligent system enhances data retrieval and report generation, accelerating justice delivery.

Keywords:
Computational IntelligenceGenerative AILarge language modelsMedical forensicsSpeech recognition

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Area of Science:

  • Forensic Science
  • Computer Science
  • Artificial Intelligence

Background:

  • Digitization of medical forensics varies globally due to differing legal systems.
  • State Forensic Services often lack advanced computational systems for forensic practices.
  • Technological advancements enable intelligent, large-scale information systems.

Purpose of the Study:

  • Identify the gap in intelligent information systems for AI-enhanced medical forensics.
  • Propose an AI-driven system for the complete lifecycle of State Forensic Services processes.
  • Facilitate seamless data retrieval, observation extraction, and forensic report compilation.

Main Methods:

  • Developed a research system integrating Artificial Intelligence (AI) into State Forensic Services (SFS) workflows.
  • Utilized Speech Recognition and Generative AI technologies.
  • Implemented a distributed system across Web, Mobile, and Cloud edge platforms.

Main Results:

  • Demonstrated the practical application of AI in medical forensics.
  • Showcased an AI-enabled system designed for forensic procedure optimization.
  • Indicated potential for accelerating overall justice delivery.

Conclusions:

  • AI offers significant potential to enhance medical forensics.
  • An integrated AI system can streamline SFS processes, improving efficiency.
  • The proposed system contributes to optimizing forensic procedures and expediting justice.