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Artificial intelligence in forensic medicine and related sciences - selected issues.

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This summary is machine-generated.

Artificial intelligence (AI) offers significant potential in forensic medicine for applications like thanatology and diagnostics. However, AI should remain an auxiliary tool, with human oversight crucial for medico-legal opinions and final decisions.

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Area of Science:

  • Forensic Medicine
  • Legal Medicine
  • Medical Informatics

Background:

  • Advancements in computing power and AI's data analysis capabilities enable its application in forensic medicine.
  • AI integration into forensic science is expanding due to its potential to process vast datasets.

Purpose of the Study:

  • To overview the applications of artificial intelligence in forensic medicine and related sciences.
  • To identify concerns regarding medico-legal opinions and legal liability associated with AI in forensic diagnosis and treatment.

Main Methods:

  • A literature review was conducted using Google Scholar, PubMed, and ScienceDirect.
  • Search terms included "artificial intelligence," "deep learning," "machine learning," "forensic medicine," "legal medicine," "forensic pathology," and "medicine."

Main Results:

  • AI has numerous applications in forensic medicine, including thanatology, forensic traumatology, post-mortem identification, and microscopic/toxicological diagnostics.
  • AI can analyze large volumes of data, aiding in various forensic examinations.

Conclusions:

  • Artificial intelligence in forensic medicine should serve as an auxiliary tool.
  • Human professionals must retain responsibility for final diagnostic and therapeutic decisions and their implementation to mitigate potential harm.