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Health and scientific researchers in non-English speaking countries such as Pakistan, are not proficient in English, which limits their ability to communicate their ideas and findings to the international scientific community. ChatGPT is a large language model that can help non-native English speakers to write high-quality scientific papers much faster by assisting them in conveying their ideas in a clear and understandable manner, as well as avoiding common language errors. In fact, ChatGPT has already been used in publication of research papers, literature reviews, and editorials. However, it is imperative to recognise that ChatGPT is still in its early stages, thus, it is important to recognise its limitations. It is suggested that ChatGPT should be employed to complement writing and reviewing tasks but should not be relied on to generate original content or perform essential analysis, as it cannot replace human expertise, contextual knowledge, experience, and intelligence. Researchers should exercise caution and thoroughly scrutinise the generated text for accuracy and plagiarism before incorporating it into their work. Key Words: Artificial intelligence, ChatGPT, Health research, Scientific research.
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Stored only when both papers are in the corpus — 17 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.