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<p>Media representations have long influenced public understandings of infertility and assisted reproductive technologies (ART), with traditional media frequently relying on moralized or sensational narratives that reinforce stigma and oversimplification. The rise of social media and artificial intelligence (AI) has reshaped reproductive health communication, allowing patients to share lived experiences, build community, and access information outside clinical settings, while also increasing exposure to misinformation. This review synthesizes peer-reviewed research, clinical commentary, and digital media analyses to examine infertility narratives, online patient engagement, and AI-driven information dissemination. Findings indicate that social media has expanded patient agency and reduced isolation, but AI-generated content and influencer marketing contribute to the rapid spread of inaccurate or misleading fertility information. Despite these risks, digital platforms offer significant opportunities for evidence-based education and empathetic engagement. Clinicians who thoughtfully engage with social media and AI can counter misinformation, direct patients to trustworthy resources, and strengthen patient-physician relationships. When used responsibly, these tools can enhance communication and promote more informed, compassionate infertility care.</p>

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Fertility care in the age of algorithms: opportunities and risks of AI and social media integration in reproductive medicine

  • 期刊论文

  • 发表日期：

    2026年5月7日

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  • Tommy Wondrasek,
  • Elizabeth Boucher,
  • Jennifer Dundee,
  • Jessica Ryniec,
  • Navid Esfandiari

摘要

Media representations have long influenced public understandings of infertility and assisted reproductive technologies (ART), with traditional media frequently relying on moralized or sensational narratives that reinforce stigma and oversimplification. The rise of social media and artificial intelligence (AI) has reshaped reproductive health communication, allowing patients to share lived experiences, build community, and access information outside clinical settings, while also increasing exposure to misinformation. This review synthesizes peer-reviewed research, clinical commentary, and digital media analyses to examine infertility narratives, online patient engagement, and AI-driven information dissemination. Findings indicate that social media has expanded patient agency and reduced isolation, but AI-generated content and influencer marketing contribute to the rapid spread of inaccurate or misleading fertility information. Despite these risks, digital platforms offer significant opportunities for evidence-based education and empathetic engagement. Clinicians who thoughtfully engage with social media and AI can counter misinformation, direct patients to trustworthy resources, and strengthen patient-physician relationships. When used responsibly, these tools can enhance communication and promote more informed, compassionate infertility care.