{
  "id": 7231636,
  "title": "Beyond Detection: Coreline Soft Sees Lung Cancer Screening AI Evolving into a Digital Pathway",
  "url": "https://urgent.news/2026/09/14/beyond-detection-coreline-soft-sees-lung-cancer-screening-ai-evolving",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-14T03:12:04.000Z",
  "source": {
    "name": "Korea IT Times",
    "slug": "korea-it-times",
    "url": "https://www.koreaittimes.com/news/articleView.html?idxno=157117"
  },
  "original_language": "en",
  "account": "The global competition in AI for lung cancer screening is shifting beyond simplicity, focusing on how algorithms perform throughout the entire screening process. At Coreline Soft's symposium in Seoul, experts discussed how AI must integrate seamlessly across various stages, from selecting eligible patients to managing nodules and ensuring follow-ups. Professor Annemiek Snoeckx noted that in Europe, AI's impact is limited if radiologists must constantly switch between separate systems. Korea's national program has already faced real-world challenges, like integrating AI with existing systems and improving user interfaces. Meanwhile, Europe grapples with connecting multiple institutions and automating workflows. Coreline Soft's AVIEW platform, initially developed in Korea, is expanding its functions, including nodule management and emphysema assessment. As both regions advance, the focus is on ensuring AI algorithms are practical and widely adopted, rather than solely relying on detection accuracy.",
  "summary": "The global race in artificial intelligence for lung cancer screening is beginning to move beyond a familiar question: how accurately can an algorithm detect a pulmonary nodule?As screening programs expand, a broader challenge is emerging. AI must work not only at the moment a CT scan is interpreted,",
  "key_points": [
    "Coreline Soft's AVIEW platform expands to nodule management and emphysema assessment.",
    "AI integration challenges in Europe and Korea's national program.",
    "Focus shifts to practical AI adoption beyond detection accuracy."
  ],
  "editors_take": "The shift in lung cancer screening AI towards seamless integration across the entire screening process means radiologists will benefit from more streamlined workflows and patients will see more comprehensive care.",
  "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."
}