Artificial intelligence in intimate partner violence risk pathways: a PRISMA-ScR review of femicide prevention and medico-legal accountability - Report - MDSpire

Artificial intelligence in intimate partner violence risk pathways: a PRISMA-ScR review of femicide prevention and medico-legal accountability

  • By

  • Paolo Bailo

  • Giulio Nittari

  • Tommaso Spasari

  • Filippo Gibelli

  • Giovanna Ricci

  • June 23, 2026

  • 0 min

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Clinical Report: Exploring the Role of AI in Assessing Risks of Intimate Partner Violence

Overview

This scoping review evaluates the role of artificial intelligence (AI) in identifying and responding to intimate partner violence (IPV) and femicide risks. It highlights the limitations of AI in predicting individual femicide.

Background

Intimate partner violence (IPV) is a significant public health and human rights issue, often leading to severe outcomes, including femicide. The integration of AI in assessing IPV risks presents an opportunity to enhance institutional responses and improve risk management.

Data Highlights

The review analyzed 125 publications related to AI in IPV, revealing a diverse range of data sources and applications.

Key Findings

  • AI techniques are primarily used for detection, classification, and risk stratification.
  • The evidence base shows significant heterogeneity across clinical, legal, and social service contexts.
  • Limited studies investigate the implementation and ethical considerations of AI in IPV.
  • AI cannot replace professional discernment or survivor-focused practices in risk assessment.
  • The review proposes a six-layer conceptual model for integrating AI into risk recognition frameworks.

Clinical Implications

Healthcare professionals should be aware of the limitations of AI in IPV risk assessment.

Conclusion

AI must be integrated thoughtfully within human-driven frameworks to ensure ethical and effective outcomes.

Related Resources & Content

  1. BMC Psychiatry, Springer, 2025 -- Intimate partner violence and mental disorders among women: an umbrella review
  2. Frontiers in Reproductive Health -- Regulating algorithmic tools in reproductive health: ethical and legal challenges
  3. BMJ Mental Health -- Automating thematic review of prevention of future deaths reports: concordance study of a child-suicide analysis using large language models
  4. Screening for Intimate Partner Violence and Caregiver Abuse of Older or Vulnerable Adults: US Preventive Services Task Force Recommendation Statement | Obstetrics and Gynecology | JAMA | JAMA Network
  5. Frontiers in Psychiatry — Suicide risk assessment: clinical implications of the unpredictability of suicidal behavior
  6. Clinical management of rape and intimate partner violence in emergencies
  7. Femicides in 2023
  8. Screening for Intimate Partner Violence and Caregiver Abuse of Older or Vulnerable Adults: US Preventive Services Task Force Recommendation Statement | Obstetrics and Gynecology | JAMA | JAMA Network
  9. Screening for Intimate Partner Violence and for Caregiver Abuse of Older or Vulnerable Adults: An Evidence Report and Systematic Review for the US Preventive Services Task Force | Adolescent Medicine | JAMA | JAMA Network
  10. 2024 surveillance of domestic violence and abuse: multi-agency working (NICE guideline PH50)
  11. Electronic Health Record–Based Screening for Intimate Partner Violence: A Cluster Randomized Clinical Trial | Trials | JAMA Network Open | JAMA Network
  12. Assessing risk for severe domestic violence and related homicides perpetrated by partners and in-laws: adapted danger assessments for women in abusive relationships in India | BMC Public Health | Springer Nature Link
  13. Frontiers | Artificial Intelligence in Intimate Partner Violence Risk Pathways: A PRISMA-ScR Review of Femicide Prevention and Medico-Legal Accountability
  14. The Role of Artificial Intelligence for Intimate Partner Violence Prevention: A Systematic Review - Li - Journal of Clinical Nursing - Wiley Online Library
  15. Frontiers | Improving police recorded crime data for domestic violence and abuse through natural language processing
  16. Judging the algorithm | AI & SOCIETY | Springer Nature Link

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