This study aimed to identify the impact of generative artificial intelligence applications on the quality of research output in Medical Research Center in Zawia, Libya. To achieve the study's objectives, the descriptive-analytical approach was adopted. A questionnaire was used as the data collection tool, and it was distributed to (200) employees. A total of (180) completed questionnaires were retrieved, yielding a response rate of (90%). After data cleaning and screening, missing data and outliers were detected; accordingly, the study relied on (172) valid questionnaires, representing a valid response rate of (86%). Data were analyzed using the SPSS program, employing percentages, arithmetic means, standard deviations, linear regression analysis, and other statistical methods. The results showed that the level of generative artificial intelligence applications namely (information gathering support, data analysis, scientific content production, summarization and paraphrasing) in Medical Research Center in Zawia was moderate (Mean = 3.35), while the level of research output quality at the center was also moderate (Mean = 3.06). Furthermore, the results revealed a statistically significant effect at the level (α ≤ 0.05) for all generative AI applications (information gathering support, data analysis, scientific content production, summarization and paraphrasing) on the quality of research output. In light of these findings, the study put forward a number of recommendations.................. Keywords:.................. Generative Artificial Intelligence, Quality of Research Output, Medical Research Center in Zawia.