Deploying medical AI in low-resource settings: a scoping review of challenges and strategies - Takeaways - MDSpire

Deploying medical AI in low-resource settings: a scoping review of challenges and strategies

  • By

  • Abdulelah Al-Ganad

  • Ahmed Al-Shahdhi

  • Othman Al-Dhaifi

  • Essam Hajeb

  • Huwaida Hajeb

  • Ahmed Al-Motarreb

  • April 1, 2026

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  • 1

    AI's deployment in low-resource settings (LRS) is hindered by weak infrastructure, fragmented data, and limited local skills.

  • 2

    Successful AI implementation requires investments in resilient digital infrastructure and interoperable data standards.

  • 3

    Continuous capacity-building programs and fairness auditing mechanisms are essential for effective AI use in healthcare.

  • 4

    Governance frameworks must prioritize transparency, accountability, and equity to support ethical AI integration in healthcare.

  • 5

    Sustainable AI innovation in LMICs depends on context-aware design that complements human judgment rather than replaces it.

Original Source(s)

Deploying medical AI in low-resource settings: a scoping review of challenges and strategies

  • by Abdulelah Al-Ganad, Ahmed Al-Shahdhi, Othman Al-Dhaifi, Essam Hajeb, Huwaida Hajeb, Ahmed Al-Motarreb

  • April 1, 2026

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