{
  "id": 18085,
  "url": "https://www.jmir.org/2026/1/e74150",
  "title": "Building a Natural Language Processing Augmented Information Support System to Enhance Supportive Care for Patients With Prostate Cancer and Families: User-Centered, Iterative Approach",
  "summary": "Background: Patients with prostate cancer and their families face significant challenges during transitions from diagnosis to treatment and posttreatment self-management, particularly in accessing, understanding, and using complex health information. Objective: We aimed to develop the Interactive Prostate Cancer Information, Communication, and Support Program (iPICS), a natural language processing (NLP)–augmented eHealth platform designed to enhance care continuity, support decision-making, and",
  "authors": "Lixin Song, Xiaomeng Wang, Fei Yu, Dongmei Zuo, Lisa Hart Ranzinger, Michael Liss, Hung-Jui Tan",
  "category": "research",
  "topics": "healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-10T19:30:06.000Z",
  "fetched_at": "2026-08-11T05:10:37.351Z",
  "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/18085",
  "original_url": "https://www.jmir.org/2026/1/e74150",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}