{
  "abstract": "Artificial intelligence (AI) is increasingly positioned as a mechanism for expanding access, strengthening surveillance, improving clinical decisions, and increasing health-system efficiency. Yet AI implementation is path-dependent: its value depends on the health-system, digital, institutional, and social foundations into which it is introduced. Somalia provides a critical test of this proposition because a dynamic telecommunications ecosystem coexists with uneven electricity, broadband use, primary care capacity, routine data quality, digital skills, and governance, particularly across rural, pastoralist, nomadic, displaced, and drought-affected populations. This Perspective develops a foundation-first AI implementation agenda for Somalia. It integrates the World Health Organization health-system building blocks, the Nonadoption, Abandonment, Scale-up, Spread and Sustainability framework, and an equity lens, while aligning proposed actions with the Sustainable Development Goals, Somalia's National Transformation Plan 2025-2029, Health Sector Strategic Plan III, and African Union Agenda 2063. The central argument is that AI should be treated as a capstone of digital transformation rather than its starting point. Reliable energy, inclusive connectivity, strong primary and community care, interoperable information systems, workforce capability, sustainable financing, and accountable governance should precede or accompany AI deployment. This sequencing can convert AI from a potentially exclusionary technology into a context-fit multiplier of health-system capacity.",
  "abstract_shown": true,
  "affiliations": [
    "School of Public Health and Nutrition, College of Health Sciences, Amoud University, Borama, Somaliland, Somalia.",
    "Research and Innovation Center, Amoud University, Borama, Somaliland, Somalia."
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Hamze G Dahir"
    },
    {
      "affs": [
        1
      ],
      "name": "Abdisalam Hassan Muse"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/f51ej5rxqzvj2.bib",
  "cited_by": 0,
  "doi": "10.3389/fdgth.2026.1959721",
  "fulltext_url": "https://europepmc.org/articles/PMC13683783",
  "id": "f51ej5rxqzvj2",
  "issns": [
    "2673-253X"
  ],
  "landing_url": "https://europepmc.org/article/MED/42909091",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2718|Artificial Intelligence in Healthcare and Education"
    ]
  ],
  "openalex": "W7220856567",
  "pdf_url": "https://europepmc.org/articles/PMC13683783?pdf=render",
  "pmcid": "PMC13683783",
  "pmid": "42909091",
  "published": "2026-10-07",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/f51ej5rxqzvj2.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:10Z",
      "native_id": "MED:42909091",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42909091"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2718|Artificial Intelligence in Healthcare and Education",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Foundation first: a health-system readiness framework for responsible AI adoption in Somalia.",
  "title_text": "Foundation first: a health-system readiness framework for responsible AI adoption in Somalia.",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:20:10Z",
  "url": "https://research.draconitic.com/paper/f51ej5rxqzvj2",
  "venue": "Frontiers in digital health",
  "versions": []
}