Rahman Eqram, Sayed Karim, Rao Parinitha, Yu Nanze, Wang Keming, Garcia Patricia E, Ioannidis Sotirios, Philipp-Dormston Wolfgang G, Carruthers Jean D A, Webb William Richard
From the Research and Innovation Hub, Innovation Aesthetics.
Nomi Oslo.
Plast Reconstr Surg. 2025 Jun 1;155(6):986e-1004e. doi: 10.1097/PRS.0000000000011899. Epub 2024 Nov 26.
The global aesthetic medicine industry is expanding rapidly, with conferences serving as crucial platforms for knowledge exchange and collaboration. However, concerns have emerged about the increasing prioritization of commercial content over scientifically rigorous presentations. This study critically evaluates the balance between commercial and scientific content at aesthetic medicine conferences, using artificial intelligence (AI) tools to analyze the impact of industry sponsorship and live procedural demonstrations on educational value.
Using the punctuated equilibrium framework, AI-driven content analysis, social network analysis, and sentiment analysis were applied to evaluate conference data, including programs, sponsorship details, speaker affiliations, and attendee engagement metrics. The study analyzed global and regional aesthetic medicine conferences from 2014 to 2024, identifying patterns and punctuated shifts in the balance between scientific and commercially driven content.
AI-based analysis of 487 conferences, comprising more than 28,000 sessions and 2 million social media posts, revealed an increasing trend toward commercially focused content, particularly in industry-sponsored events. Approximately 44% of sessions were commercially oriented, with significant spikes during product launches. Academic and clinical speakers were more prevalent in scientific conferences, whereas industry-affiliated speakers dominated commercial sessions. Social media sentiment, analyzed using AI tools, reflected high engagement with procedural demonstrations, but also highlighted concerns about educational quality.
Although industry-driven sessions garnered higher immediate engagement, they reduced long-term cognitive retention and compromised the educational integrity of conferences. The use of AI in this study enabled a deeper understanding of content trends and their effects. Aesthetic medicine conferences must recalibrate the balance between commercial interests and scientific rigor to ensure sustainable professional development and patient safety.
全球美容医学行业正在迅速扩张,会议是知识交流与合作的关键平台。然而,人们越来越担心商业内容的优先级超过了科学严谨的展示。本研究批判性地评估了美容医学会议中商业内容与科学内容之间的平衡,使用人工智能(AI)工具分析行业赞助和现场手术演示对教育价值的影响。
采用间断平衡框架、人工智能驱动的内容分析、社会网络分析和情感分析来评估会议数据,包括会议议程、赞助细节、演讲者背景以及参会者参与度指标。该研究分析了2014年至2024年全球及地区性的美容医学会议,确定了科学驱动内容与商业驱动内容之间平衡的模式和间断性变化。
对487场会议进行基于人工智能的分析,这些会议包含超过28000个场次以及200万条社交媒体帖子,结果显示以商业为重点的内容呈上升趋势,尤其是在行业赞助的活动中。约44%的场次以商业为导向,在产品发布期间出现显著峰值。学术和临床演讲者在科学会议中更为普遍,而与行业相关的演讲者在商业场次中占主导地位。使用人工智能工具分析社交媒体情绪,反映出对手术演示的高度参与,但也凸显了对教育质量的担忧。
尽管行业驱动的场次获得了更高的即时参与度,但它们降低了长期认知保留率,并损害了会议的教育完整性。本研究中人工智能的使用有助于更深入地理解内容趋势及其影响。美容医学会议必须重新调整商业利益与科学严谨性之间的平衡,以确保专业的可持续发展和患者安全。