Artificial Intelligence Governance in Health Systems: Systematic Review of Frameworks and Integrative Model Proposal - Summary - MDSpire

Artificial Intelligence Governance in Health Systems: Systematic Review of Frameworks and Integrative Model Proposal

  • By

  • Hassane Alami

  • Renata Pozelli Sabio

  • Elsury Johanna Pérez

  • Marie-Pierre Gagnon

  • Lyse Langlois

  • Jean-Louis Denis

  • Kathy Malas

  • Lysanne Rivard

  • Mathilde Savoldelli

  • Mohamed Ali Ag Ahmed

  • Jean-Paul Fortin

  • June 8, 2026

  • 0 min

Share

Objective:

Emphasize the importance of addressing interdependencies in AI governance.

Key Findings:
  • Include implications of the findings.
Interpretation:

Connect the need for an integrative approach to gaps in existing frameworks.

Limitations:
  • Mention potential biases in the literature review process.
Conclusion:

Reiterate the significance of the proposed model.

Original Source(s)

Artificial Intelligence Governance in Health Systems: Systematic Review of Frameworks and Integrative Model Proposal

  • by Hassane Alami, Renata Pozelli Sabio, Elsury Johanna Pérez, Marie-Pierre Gagnon, Lyse Langlois, Jean-Louis Denis, Kathy Malas, Lysanne Rivard, Mathilde Savoldelli, Mohamed Ali Ag Ahmed, Jean-Paul Fortin

  • June 8, 2026

Related Content

Performance of large language models in delivering accurate and comprehensible patient information on heart failure and cardiomyopathy

The correlation between serum calcium and asprosin in elderly patients with type 2 diabetes mellitus in community

Stroke Severity Linked to Dementia Risk

Findings support greater attention to stroke prevention and poststroke cognitive monitoring.