{
  "id": 9515,
  "url": "https://doi.org/10.2196/53008",
  "title": "Generative AI in Medical Practice: In-Depth Exploration of Privacy and Security Challenges",
  "summary": "As advances in artificial intelligence (AI) continue to transform and revolutionize the field of medicine, understanding the potential uses of generative AI in health care becomes increasingly important. Generative AI, including models such as generative adversarial networks and large language models, shows promise in transforming medical diagnostics, research, treatment planning, and patient care. However, these data-intensive systems pose new threats to protected health information. This Viewp",
  "authors": "Yan Chen, Pouyan Esmaeilzadeh",
  "category": "research",
  "topics": "privacy-surveillance,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2024-03-08T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:57.576Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9515",
  "original_url": "https://doi.org/10.2196/53008",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}