Systematic review evaluates artificial intelligence applications in forensic pathology, highlighting promising outcomes and indicating the need for larger datasets.
Key Points
Artificial intelligence has shown significant success in various forensic fields, enhancing traditional methods.
Deep learning achieved 70–94% accuracy in neurological forensics, demonstrating AI's precision in post-mortem analysis.
Microbiome analysis applications reached up to 90% accuracy for individual identification, showcasing AI's potential.
Future work should focus on increasing dataset sizes and improving AI interpretability in forensic contexts.