{
  "id": 8909313,
  "title": "Promising AI tool to speed up endometriosis diagnosis",
  "url": "https://urgent.news/2026/09/21/promising-ai-tool-to-speed-up-endometriosis-diagnosis",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-21T11:40:01.000Z",
  "source": {
    "name": "Medical Xpress",
    "slug": "medical-xpress",
    "url": "https://medicalxpress.com/news/2026-09-ai-tool-endometriosis-diagnosis.html"
  },
  "original_language": "en",
  "account": "An AI tool called EndoFusion, developed by researchers at Adelaide University, has been created to expedite endometriosis diagnosis. The AI framework, which is still in early stages of development, can accurately identify two major indicators of advanced endometriosis in pelvic scans, completing the task in just 18 milliseconds. Current imaging methods each excel at detecting different signs of the condition, and EndoFusion aims to combine data from both methods for a more effective and efficient diagnosis. In a recent study, the AI tool achieved 83% diagnostic accuracy, surpassing any competing model. Endometriosis is a chronic condition affecting over 190 million women worldwide, causing symptoms such as abdominal pain, heavy periods, and infertility. Accurate and noninvasive early diagnostic methods are crucial to shorten the diagnostic timeline and reduce costs. The researchers plan to expand the data set to include additional endometriosis markers to further improve the tool's classification accuracy.",
  "summary": "The AI tool, called \"EndoFusion,\" is a recent development from IMAGENDOÒ, an ongoing collaborative study led by Adelaide University researchers. In this latest study, researchers found the framework could accurately identify two major indicators of advanced endometriosis in pelvic scans, producing results in just 18 milliseconds.",
  "key_points": [
    "EndoFusion AI tool accelerates endometriosis diagnosis",
    "Identifies two major indicators in pelvic scans within 18 milliseconds",
    "Achieves 83% diagnostic accuracy in recent study"
  ],
  "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."
}