TRV-2026-1674Certified recordPeer-reviewed

Assessment of utilization of ChatGPT on Medical Research Paper Writing Practices amongst University students in Lahore, Pakistan

Background :The integration of artificial intelligence (AI) in academic applications has transformed medical research writing. ChatGPT is an AI-based language model that has been introduced by Open AI. It is been commonly used for literature review, manuscript organization, and writing research papers and articles. Objective: To assess utilization of ChatGPT on medical research writing practices among university students. Method: An analytical cross- sectional study conducted among university student of The Univ…

Education · The Trace — both readings · certified 2026-10-17 · v1 · article view · machine-readable

Current reading — gain

Most surveyed Lahore medical and allied health students said ChatGPT improved their academic writing, helped organize ideas, and strengthened independent research.

Current reading — problem

Many of the same students reported inaccuracies in ChatGPT output, and about half would use its generated text without further validation, raising academic integrity risks.

What this doesn’t fix

The sample was chosen by non-probability convenience sampling at two universities, and results rest on self-reported questionnaire answers, which limits how far they generalize.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-1674, v1: “Assessment of utilization of ChatGPT on Medical Research Paper Writing Practices amongst University students in Lahore, Pakistan.” Truvace, 2026-10-17. /record/TRV-2026-1674 (accessed at citation time). sha256 a8f464d42f26a52f…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

  1. Certifiedv1a8f464d42f26…

    Certified into the record

Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-1674 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.