{
  "id": 19253,
  "url": "https://www.jmir.org/2026/1/e84378",
  "title": "Exploring Perceptions of Leveraging AI to Improve Outcomes in Maternal, Sexual, and Reproductive Health in Sub-Saharan Africa: Exploratory Qualitative Study",
  "summary": "Background: AI has the potential to transform health care in low- and middle-income countries, where access to quality care remains limited. Maternal, sexual, and reproductive health (MSRH) outcomes are especially poor due to resource shortages, financial barriers, and geographic inequities. With thoughtful implementation, AI could help address these gaps through innovations in diagnostics, health education chatbots, and telemedicine. However, responsible use is essential to ensure AI reduces, r",
  "authors": "Rachel King, Elizabeth Oseku, Cecilia Akatukwasa, Moreen Nanyonjo, Joshua Beinomugisha, Joan Akullo, Jackie Ssemata, Rosalind Parkes-Ratanshi",
  "category": "research",
  "topics": "healthcare,children-education",
  "orgs": null,
  "regions": "africa",
  "published_at": "2026-08-13T20:15:11.000Z",
  "fetched_at": "2026-08-14T05:10:49.168Z",
  "source_slug": "x-jmir-journal-of-medical-internet-researc",
  "source_name": "JMIR (Journal of Medical Internet Research)",
  "source_homepage": "https://www.jmir.org",
  "ethics_ai_record_url": "https://ethics.ai/record/19253",
  "original_url": "https://www.jmir.org/2026/1/e84378",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}