{
  "id": 13717,
  "url": "https://arxiv.org/abs/2607.22005v1",
  "title": "What Clinicians Need: Designing, Developing and Evaluating an AI-Based Decision Support System for Autism Assessment",
  "summary": "AI methods promise to support autism spectrum condition (ASC) diagnostics in adults, a complex and time-consuming process, that is characterized by a shortage of specialized clinicians. To date, clinicians' needs and their interaction with such AI-based support remain underexplored. Our work aims to develop and evaluate an AI-based clinical decision support system (CDSS) for ASC assessment, and to investigate how it impacts clinicians' decision-making. By interviewing clinicians of varying exper",
  "authors": "Ulrike Schäfer, William Saakyan, Matthias Norden, Fabrizio Kuruc, Peter Sörries, Isabel Dziobek, Claudia Müller-Birn, Hanna Drimalla",
  "category": "research",
  "topics": "healthcare,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-24T06:10:06.000Z",
  "fetched_at": "2026-07-27T05:10:06.638Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/13717",
  "original_url": "https://arxiv.org/abs/2607.22005v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}