AI could boost clinical skills of rural physicians

NCT ID NCT07711600

Not yet recruiting Knowledge-focused Sponsor: Peking University Third Hospital Source: ClinicalTrials.gov ↗

First seen Jul 17, 2026 · Last updated Jul 17, 2026

Summary

This study tests whether giving rural doctors access to a large language model (LLM) — a type of AI — along with brief training on how to use it safely, can improve their clinical decision-making. Around 240 rural physicians in China will work through simulated patient cases, either using the AI or conventional resources. The goal is to see if AI assistance leads to better diagnostic judgments and recognition of warning signs.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: training on using large language models (LLMs) for clinical decision support
What this could lead to: If effective, this approach could help rural doctors make better decisions, potentially improving patient care in areas with limited resources.
What could go wrong: This is a small, early-stage study focused on simulated cases, not real patients. The results may not translate to actual clinical practice or other settings.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CLINICAL DECISION-MAKING

Contacts and locations

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Study contacts

Contact

Phone: •••-•••-•••• Email: •••••@•••••

Locations

Xinjiang Second Medical College

Karamay, Xinjiang Uygur Autonomous Region, China

Contact Phone: •••-•••-•••• Email: •••••@•••••

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