WHO Embarks on Global AI Initiative in Healthcare
Geneva, Friday, 7 March 2025.
The WHO launched a global initiative to integrate AI in healthcare. This movement aims to improve patient outcomes and tackle healthcare challenges with anticipated AI-driven reductions in diagnostic errors by up to 50%.
Strategic Partnership with Delft University
In a significant development on March 6, 2025, WHO designated the Digital Ethics Centre at Delft University of Technology as its Collaborating Centre on AI for health governance [1]. This partnership aims to establish robust ethical frameworks and evidence-based policies for AI implementation in healthcare. Dr. Alain Labrique, Director of Digital Health and Innovation at WHO, emphasized the organization’s commitment to supporting member states in planning and governing responsible AI technologies [1].
Addressing Global Healthcare Disparities
The initiative specifically targets the critical disparity in AI healthcare solutions between high-income nations and low- and middle-income countries (LMICs) [2]. Key challenges include infrastructure limitations, fragmented health data systems, and shortage of digitally skilled healthcare professionals [2]. The WHO’s approach focuses on developing governance structures and fostering international collaboration to ensure equitable access to AI-driven healthcare innovations [1][2].
Implementation and Future Outlook
Earlier in February 2025, the WHO convened a consortium of leaders from academia, industry, and government agencies to advance AI-driven healthcare discovery [3]. The initiative has garnered support from various stakeholders, including the NIH, NSF, and ARPA-H, demonstrating a comprehensive approach to healthcare innovation [3]. Regional workshops and knowledge-sharing programs are planned [1], with experts projecting that AI technologies could significantly reduce diagnostic errors [3].
Safety and Ethical Considerations
A crucial aspect of the initiative focuses on addressing potential risks and ethical concerns in AI healthcare implementation. Key considerations include data privacy, security, and algorithmic bias, particularly affecting marginalized populations [2]. The WHO emphasizes the importance of proactive engagement from governments and stakeholders to foster trust between healthcare providers and patients [2], with specific attention to ensuring transparent and responsible AI deployment [1].