{
  "id": 4025,
  "url": "https://arxiv.org/abs/2605.19766v1",
  "title": "Synthesis and Evaluation of Long-term History-aware Medical Dialogue",
  "summary": "An effective healthcare agent must be able to recall and reason over a patient's longitudinal medical history. However, the absence of datasets with realistic long-term dialogue timelines limits systematic evaluation. Real clinical text is constrained by privacy and ethics, while existing benchmarks focus on isolated interactions, failing to capture cross-session reasoning. We introduce a framework for synthesizing high-quality, long-term medical dialogues with LLMs. Our approach entails a knowl",
  "authors": "Hebin Hu, Renke Dai, Ah-Hwee Tan, Yilin Kang",
  "category": "research",
  "topics": "privacy-surveillance,healthcare,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-19T12:38:41.000Z",
  "fetched_at": "2026-07-14T16:30:41.582Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4025",
  "original_url": "https://arxiv.org/abs/2605.19766v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}