Research priorities for data science and artificial intelligence in global health: an international consensus exercise - PubMed
2 days ago
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- #artificial intelligence
- Research priorities for data science and AI in global health were identified through an international consensus exercise.
- 155 research ideas were scored by 51 experts based on feasibility, impact, paradigm shift potential, implementation, and equity.
- Top priorities included AI-based outbreak prediction, improved diagnostics for infectious diseases, and early-warning systems.
- Other high-ranking topics were AI-assisted resource allocation, telemedicine, mobile health services, and chronic disease management tools.
- LMIC experts prioritized infectious disease control and diagnostic equity, while high-income country experts focused on infrastructure and climate-related analytics.
- The study aims to align AI and data science research with global health priorities, especially in LMICs.