Use of Generative AI in Medical Writing by Non-Native English Researchers

In all, 48 scientific medical articles were published by first authors from the Greater Maghreb countries. Articles were classified as "sAI-g" in 65% of cases, with a median rate of 36.2%[IQR=11.0%-49.4%]. AI-generated text was detected mainly in three sections: "Methods" (sAI-g=86%, median=59.3%[IQR=28.5%-71.7%]), "Abstract" (sAI-g=69%, median=52.2% [IQR=0.0%-90.2%]) and "Introduction" (sAI-g=58%, median=43.2%,[IQR=0.0%-79.4%]), while the "Discussion" section had the lowest median rate (sAI-g=30%, median=10.4%,[IQR=0.0%-27.9%]). Conclusion: Scientific medical articles from the Greater Maghreb countries used Generative AI extensively. This requires, on one hand, advancing medical education and mandating dissertations in English to build capacities for non-native English-speaking researchers, and on the other hand, providing training on the responsible use of AI ..(abstract truncated at 250 words).