{
  "id": 19250,
  "url": "https://www.jmir.org/2026/1/e93892",
  "title": "Radiomics-Based AI for Predicting Neoadjuvant Immunochemotherapy Pathological Response in Non–Small Cell Lung Cancer: Systematic Review and Meta-Analysis",
  "summary": "Background: Non–small cell lung cancer (NSCLC) remains the leading cause of cancer-related mortality worldwide. Accurate early prediction of response to neoadjuvant therapy is critical. Objective: We aimed to evaluate the diagnostic performance of radiomics-based AI in predicting pathological complete response (pCR) and major pathological response (MPR) following neoadjuvant immunochemotherapy in NSCLC and to compare it against traditional radiological criteria. Methods: A systematic search of P",
  "authors": "Ziqi Jiang, Yuan Xu, Shuyu Jia, Hongsheng Liu",
  "category": "research",
  "topics": "healthcare",
  "orgs": "meta",
  "regions": null,
  "published_at": "2026-08-14T04:00:18.000Z",
  "fetched_at": "2026-08-14T05:10:49.168Z",
  "source_slug": "x-jmir-journal-of-medical-internet-researc",
  "source_name": "JMIR (Journal of Medical Internet Research)",
  "source_homepage": "https://www.jmir.org",
  "ethics_ai_record_url": "https://ethics.ai/record/19250",
  "original_url": "https://www.jmir.org/2026/1/e93892",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}