OpenAI, telemedicine, and mHealth have great potential in aesthetic plastic surgery, but their full potential has yet to be realized. Trends and research in this field have not been comprehensively evaluated using bibliometric tools. Therefore, this study aims to address these gaps by conducting a bibliometric analysis of the integration of mHealth, telemedicine, and OpenAI in aesthetic plastic surgery. Relevant publications were obtained through a comprehensive and validated search query. The SciVerse Scopus database was utilized, with the study spanning from January 1, 2015, to December 31, 2024. This study examined 776 publications on the integration of OpenAI, telemedicine, and mobile health (mHealth) in aesthetic plastic surgery. Of these, 547 (70.49%) were original research articles, 123 (15.85%) were review papers, and 56 (7.22%) were letters. Over the years, the number of Scopus-indexed publications grew steadily until 2018, after which there was a noticeable increase in publication volume (R = 0.9344; P < 0.001). The USA was the largest contributor, with 305 publications (39.3%), followed by the UK with 78 (10.05%), China with 65 (8.38%), and Italy with 53 (6.83%). Additionally, the theme of "implications of intelligent chatbots in clinical practise for plastic and reconstructive surgery" has become increasingly prominent in recent years, especially after 2022, highlighting a growing interest and emphasis in this area. This study provides a quantifiable overview of knowledge in the field, offering valuable evidence and guidance for future research, clinical applications, and educational efforts.Level of Evidence V This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .