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Evidence record 12235 · automatically gathered

Real-World Evaluation of an AI Agent Drafting Translational Impact Summaries

Introduction. Clinical and Translational Science Award (CTSA) programs must document their scholars' research impact, but assembling each scholar's record by hand takes staff an estimated 15 hours and does not scale to a full cohort. An artificial intelligence (AI) agent could serve as a tool to gather scholar data across platforms and disciplines. Methods. We built a human-in-the-loop AI agent that assembles a dossier of sourced evidence for each scholar and drafts one-sentence Translational Sc

Record details

Published: 18 July 2026
Source: arXiv cs.HC
Category: Research
Topics: Healthcare · Agents & autonomy
Retrieved: 21 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Healthcare · Shared topic: Agents & autonomy

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Shared topic: Healthcare · Shared topic: Agents & autonomy

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Shared topic: Healthcare · Shared topic: Agents & autonomy

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How to cite this record

ethics.ai (18 July 2026), “Real-World Evaluation of an AI Agent Drafting Translational Impact Summaries,” evidence record 12235, https://ethics.ai/record/12235 (originally published by arXiv cs.HC).

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