{
  "id": 28309,
  "title": "Self-explaining artificial intelligence for the classification of B cell non-Hodgkin lymphoma: A diagnostic decision support study",
  "url": "https://urgent.news/2026/07/13/self-explaining-artificial-intelligence-for-the-classification-of-b",
  "topic": "ai",
  "section": "AI",
  "published": "2026-07-13T14:00:00.000Z",
  "source": {
    "name": "PLOS Medicine",
    "slug": "plos-medicine",
    "url": "https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1004889"
  },
  "original_language": "en",
  "account": null,
  "summary": "by Michael C. Thrun, Jörg Hoffmann, Stefan W. Krause, Peter Krawitz, Quirin Stier, Andreas Neubauer, Cornelia Brendel, Alfred Ultsch Background Multiparameter flow cytometry is a cornerstone of B cell non-Hodgkin lymphoma (B-NHL) diagnostics, but interpretation requires substantial expertise and is complicated by high-dimensional data, variable sample quality, limited data for rare entities, and…",
  "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."
}