{
  "id": 15988495,
  "title": "Block Diffusion for Longitudinal EHR: Accuracy, Efficiency, and Representation Trade-offs",
  "url": "https://urgent.news/2026/10/21/block-diffusion-for-longitudinal-ehr-accuracy-efficiency-and",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-21T10:23:34.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.29533v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Autoregressive (AR) models have proved effective for zero-shot prediction from longitudinal electronic health records, but impose strictly sequential generation on trajectories containing temporally clustered and interdependent clinical events. We investigate block-based masked diffusion (BD) as an alternative on MIMIC-IV under matched tokenisation, context length, model capacity, and evaluation…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}