{
  "id": 10351545,
  "title": "Uncertainty-Aware Federated Learning for Infant Movement Analysis",
  "url": "https://urgent.news/2026/09/25/uncertainty-aware-federated-learning-for-infant-movement-analysis",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-25T16:13:48.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.31463v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Infant movement analysis provides valuable biomarkers for the early identification of neurodevelopmental disorders. Recent advances in deep learning have enabled automated analysis of infant movements from video-derived skeletal representations, achieving performance comparable to expert assessment for tasks such as General Movement Assessment (GMA). However, most existing approaches rely on…",
  "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."
}