{
  "id": 3163,
  "url": "https://arxiv.org/abs/2607.01252v1",
  "title": "How Indian Dermatologists are Utilizing Artificial Intelligence for Clinical Practice and Workflow Management: A Nationwide Survey with a Special Focus on atopic dermatitis",
  "summary": "Background: Dermatology AI has mainly focused on image-based diagnosis, while chronic disease workflows have received less attention. We surveyed Indian dermatologists to map routine clinical challenges, with a focus on atopic dermatitis (AD), and assess current AI use. Methods: A nationwide cross-sectional survey commissioned by the Society for Eczema Studies included 377 practicing Indian dermatologists. The survey assessed clinical challenges, AD workflow barriers, AI use, adoption barriers, ",
  "authors": "Dipayan Sengupta, Saumya Panda, Sandipan Dhar, Dipankar De, Deepika Pandhi, Narayanan B",
  "category": "research",
  "topics": "healthcare",
  "orgs": null,
  "regions": "india",
  "published_at": "2026-06-03T10:18:55.000Z",
  "fetched_at": "2026-07-14T16:30:05.527Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3163",
  "original_url": "https://arxiv.org/abs/2607.01252v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}