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Published 3 August 2026

Author(s): Ross Jackson

For years, clinical trial visibility has largely been treated as a search, registry, outreach, or recruitment problem. Is the trial listed on ClinicalTrials.gov? Is there a recruitment page? Are sites activated? Are physicians aware? Are ads running?

Those questions still matter, but they no longer capture the full picture. As patients, physicians, site teams, and operations leaders begin using AI tools to interpret clinical trial information, sponsors face a newer question: When AI tools summarize, compare, and explain your trial, do they make the right stakeholder more likely to trust it, shortlist it, refer into it, or act upon it?

That is different from traditional visibility. It isn’t simply, “Can the trial be found online?” It is, “When the available information is interpreted by AI, does the resulting answer help or hinder the decision the stakeholder is trying to make?”

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