Partner With Us

Partner With AIMedicineNow.com

Acquire the site outright, or advertise and sponsor content on it. Two ways to work with AIMedicineNow.com, plus a running record of what we've built.

For buyers

Acquisition

Acquire the domain outright: the full site, its published content, its Search Console and AI-crawler history, and a documented monetization roadmap.

View Acquisition Details →

For vendors and sponsors

Advertise

Reach physicians, hospital administrators, and clinical AI buyers through sponsored vendor listings, category sponsorship, or editorial placement, without acquiring the domain.

View Advertising Options →

Site Timeline

We log every meaningful change to this site as we make it. Below is the public record, not a marketing timeline written after the fact.

  1. Vendor Directory, Glossary, and FAQ launched

    Replaced the old Vendors category page, which just listed articles, with a real, browsable directory of medical AI companies organized by category, plus a standalone AI Medicine Glossary and a reader-facing FAQ section.

  2. Acquisition and Advertise pages launched

    Published clear acquisition and advertising details so buyers, vendors, and sponsors can see what is included and how to take the next step.

  3. Site-wide content and template optimization

    Expanded radiology workflow, AI diagnostics, ambient documentation, pathology, medical image analysis, and clinical decision support coverage for clinical readers and buyers.

  4. More clinical guides and clearer navigation

    Expanded article coverage and improved on-site article discovery and internal linking.

  5. AI Research section launched

    Published a four-article AI Research series grounded in primary sources, and refined the homepage hero.

  6. Major content build: radiology, pathology, and imaging AI

    Published in-depth coverage of radiology workflow, ambient clinical documentation, pathology AI, and medical image analysis.

  7. AIMedicineNow.com launched

    Site went live with the full Clinical AI and Medical Imaging taxonomy and its first wave of published articles.