{
  "id": 5917,
  "url": "https://arxiv.org/abs/2604.12019v3",
  "title": "A Framework for Longitudinal Health AI Agents",
  "summary": "Although artificial intelligence (AI) agents are increasingly proposed to support potentially longitudinal health tasks, such as symptom management, behavior change, and patient support, most current implementations fall short of facilitating user intent and fostering accountability. This contrasts with prior work on supporting longitudinal needs, both within and beyond clinical settings, where follow-up, coherent reasoning, and sustained alignment with individuals' goals are critical for both e",
  "authors": "Georgianna Lin, Rencong Jiang, Noémie Elhadad, Xuhai \"Orson\" Xu",
  "category": "research",
  "topics": "safety-alignment,healthcare,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-13T20:03:53.000Z",
  "fetched_at": "2026-07-14T16:32:06.468Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5917",
  "original_url": "https://arxiv.org/abs/2604.12019v3",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}