Clinical Scorecard: The Role of Artificial Intelligence in Forensic Medicine: Progress and Ethical Implications

At a Glance

Key Highlights

• AI aids in the analysis of gunshot wounds and post-mortem CT for cause of death.
• Deep learning models effectively identify diatoms for drowning diagnosis.
• AI can estimate dental age with high precision in forensic odontology.
• AI supports mental illness assessments in forensic psychiatry.
• AI is a decision-support tool, emphasizing the need for human oversight.

Guideline-Based Recommendations

Diagnosis

• Utilize AI for analyzing gunshot wounds and estimating shooting distance.

Management

• Incorporate AI tools in forensic practices while ensuring human oversight.

Monitoring & Follow-up

• Evaluate the effectiveness of AI applications in forensic analyses.

Risks

• Consider ethical and legal implications of AI in forensic decision-making.

Patient & Prescribing Data

Not applicable; focuses on forensic applications.

AI enhances analytical capabilities but should not replace human expertise.

Clinical Best Practices

• Integrate AI methodologies into daily forensic practice.
• Foster collaboration among forensic physicians, engineers, and legal experts.
• Ensure adequate training data for AI models to improve accuracy.

Related Resources & Content

• Orsini et al. Study
• Chen et al. Study
• Delogu et al. Study
• Wang et al. Study