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Artificial intelligence and future perspectives in Forensic Medicine: a systematic review
G Volonnino1, L De Paola1, F Spadazzi1
1Department of Anatomical, Histological, Forensic and Orthopaedical Sciences, Sapienza University of Rome, Rome, Italy.
La Clinica Terapeutica
|May 20, 2024
Summary
Artificial intelligence (AI) enhances forensic medicine by analyzing data for improved diagnosis and prevention. This review explores AI applications in pathology, toxicology, radiology, and more, highlighting current uses and future potential.
Area of Science:
- Forensic medicine
- Computer science
Background:
- Artificial intelligence (AI) involves machines exhibiting human-like reasoning and learning capabilities.
- AI processes data to provide forecasts and aid decision-making, adapting autonomously based on actions.
- AI is increasingly integrated into daily life and medical fields for data analysis, pattern recognition, and improved diagnostics.
Approach:
- A systematic review of articles was conducted using PubMed.
- Keywords used were "AI forensic" and "machine learning forensic".
- Approximately 2000 articles published from 1990 to the present were analyzed.
Key Points:
- Analysis focused on common AI applications within forensic medicine.
- Six major topics were identified: forensic pathology, toxicology, radiology, personal identification, forensic anthropology, and forensic psychiatry.
- The study evaluates current AI applications and explores future potential across these forensic disciplines.
Conclusions:
- AI offers numerous and increasingly valuable applications in forensic medicine.
- The study aims to assess current AI uses, identify future applications, and discuss their limitations.
- Understanding AI's role is crucial for advancing forensic science and its sub-disciplines.
