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Research Progress of Automatic Diatom Test by Artificial Intelligence.

Yong-Zheng Zhu1,2, Ji Zhang1, Qi Cheng1,3

  • 1Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.

Fa Yi Xue Za Zhi
|June 20, 2022
PubMed
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This summary is machine-generated.

The diatom test aids drowning diagnosis in forensic medicine. Artificial intelligence (AI) offers an innovative, objective method for automatic diatom identification and classification in drowning cases.

Area of Science:

  • Forensic Medicine
  • Analytical Chemistry
  • Biotechnology

Background:

  • The diatom test is crucial for diagnosing drowning in forensic medicine.
  • It helps distinguish antemortem from postmortem drowning and identify drowning locations.
  • Current methods rely on morphological characteristics of diatoms found in tissues and organs.

Purpose of the Study:

  • To review the progress of AI in automatic diatom recognition and classification for drowning diagnosis.
  • To discuss the application of AI deep learning algorithms in diatom testing.
  • To explore the potential of AI-assisted diatom testing in forensic drowning investigations.

Main Methods:

  • Review of morphological diatom test methods.
  • Analysis of research progress in AI-based automatic diatom recognition and classification.
Keywords:
artificial intelligencedeep learningdiatom testdrowningforensic pathologyreview

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  • Discussion of AI deep learning algorithms applied to diatom identification.

    • Main Results:

    • AI algorithms can automatically identify and classify diatoms based on morphological characteristics.
    • AI deep learning facilitates objective, accurate, and efficient qualitative and quantitative analysis of diatoms.
    • AI shows promise in enhancing the diagnostic capabilities of the diatom test.

    Conclusions:

    • AI-driven automatic diatom testing represents a significant innovation in forensic drowning diagnosis.
    • AI deep learning algorithms can assist in achieving more reliable diatom test results.
    • This technology is expected to become a future direction for research in forensic drowning investigations.