What question did this study set out to answer?

The aim is to investigate gaps in current AI governance and propose a structured framework based on WHO ethical principles.

June 12, 2026AI in MedicineOpen Access

Operationalizing WHO Ethical Principles for Healthcare AI: A Lifecycle-Aligned Governance-by-Design Framework

View Full Paper

Ask AI

Bookmark

The aim is to investigate gaps in current AI governance and propose a structured framework based on WHO ethical principles.
Synthesized insights from bioethics, health policy, computer science, and clinical medicine.
Identified key stages of the healthcare AI lifecycle: data collection, model development, validation, deployment, and post-deployment monitoring.
Proposed a governance-by-design framework integrating mechanisms like consent governance and fairness evaluation.
Proposed framework operationalizes WHO ethical principles throughout the healthcare AI lifecycle.
Integration of concrete governance mechanisms enhances safety, equity, and trustworthiness of AI systems.
Identified critical challenges including algorithmic bias and transparency related to current AI deployments.

No takes yet. Share an insight, caveat, or question.

Narrative review proposes a lifecycle-aligned governance framework for AI in healthcare, addressing ethical challenges.

Saraboji et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark