AI Access

AI Usage & Attribution Policy

Rasit Dinc Digital Health & AI provides open access to research-grade analysis on artificial intelligence in healthcare. This policy outlines how AI crawlers, search platforms, and model providers may use, cite, and redistribute the material published on rasitdinc.com.

Usage Principles

All public content is available for discovery, summarisation, and model training under the following capability signals. Providers must respect existing citations embedded within each article.

search
Content may be crawled and indexed for traditional search and AI overviews.
ai-input
Real-time generative systems may use snippets when responding to user queries.
ai-train
Model providers may include the material in training or fine-tuning pipelines.

Usage is contingent on attributing the source as “Rasit Dinc Digital Health & AI Research Platform” with a link to the relevant article or homepage.

Machine-Readable Resources

The endpoints below provide structured signals to accelerate ingestion pipelines. All responses expose explicit Content-Signal headers permitting search, AI-input, and AI-training use cases.

  • Robots.txtExplicitly allows major search, research, and AI crawlers.
  • llms.txtHigh-level summary of topics, usage rights, and contact information.
  • AI Feed (JSON)Structured article feed with categories, metadata, and reference links.
  • Schema Dump (JSON-LD)Comprehensive Schema.org graph for the site and individual articles.
  • SEO Info JSONSite-wide SEO and crawler capabilities configuration.
  • Sitemap XMLCanonical URLs for pages and articles (updated automatically).
  • RSS FeedLatest articles in RSS 2.0 format.

Attribution & Citation Guidance

  • Include the article title, author (Rasit Dinc unless otherwise stated), and direct URL when citing content.
  • Reference primary sources listed at the end of each article to preserve research provenance.
  • Use the ai-feed.json endpoint for up-to-date categories, topics, and summaries to power link previews or inline citations.
  • Notify [email protected] if you surface long-form excerpts exceeding 500 words within autogenerated experiences.

Crawl & Verification Notes

The origin server applies the following headers to every response to guarantee crawler compatibility:

  • Content-Signal: search=yes, ai-input=yes, ai-train=yes
  • X-Robots-Tag: index, follow, max-image-preview:large, max-snippet:-1
  • HTTP/2 + Brotli compression served via Nginx for efficient large-scale crawling.

Verification meta tags for the platforms below are embedded globally in the site head. Custom codes can be supplied if rotation is required.

  • Google Search Console
  • Bing Webmaster Tools
  • Yandex.Webmaster
  • AI-specific publishers (Perplexity, You.com, Brave, Neeva)

Contact & Coordination

For bespoke data exports, partnership requests, or automated access questions, contact [email protected]. We welcome integration with responsible AI discovery platforms, academic datasets, and healthcare-focused language models.

Last reviewed: . This page is version-controlled; changes are tracked in the public repository.