Artificial Intelligence-Generated Social Media Content Creation and Management Strategies for Plastic Surgeons

Jad Abi-Rafeh; Leila Cattelan; Hong Hao Xu; Brian Bassiri-Tehrani; Roy Kazan; Foad Nahai

doi:10.1093/asj/sjae036

Artificial Intelligence-Generated Social Media Content Creation and Management Strategies for Plastic Surgeons

Aesthet Surg J. 2024 Feb 14:sjae036. doi: 10.1093/asj/sjae036. Online ahead of print.

Authors

Jad Abi-Rafeh¹, Leila Cattelan², Hong Hao Xu³, Brian Bassiri-Tehrani⁴, Roy Kazan¹, Foad Nahai⁵

Affiliations

¹ Division of Plastic, Reconstructive, and Aesthetic Surgery, McGill University Health Centre, Montreal, Quebec, Canada.
² Department of Medicine, McGill University Health Centre, Montreal, Quebec, Canada.
³ Faculty of Medicine, Laval University, Quebec City, Quebec, Canada.
⁴ New York, NY, USA.
⁵ Division of Plastic and Reconstructive Surgery, Emory University School of Medicine, Atlanta, GA, USA and is an editor emeritus of Aesthetic Surgery Journal.

PMID: 38366026
DOI: 10.1093/asj/sjae036

Abstract

Background: Social media platforms have come to represent integral components of the professional marketing and advertising strategy for plastic surgeons. Effective and consistent content development, however, remains technically demanding and time consuming, prompting most to employ, at non-negligible costs, social media marketing specialists for content planning and development.

Objectives: The present study aims to investigate the ability of presently available artificial intelligence (AI) models to assist plastic surgeons in their social media content development and sharing plans.

Methods: An AI Large Language Model was prompted on the study's objectives through a series of standardized user interactions; social media platforms of interest, on which the AI model was prompted, included Instagram, TikTok, and X (formerly Twitter).

Results: A one-year, entirely AI-generated social media plan, comprising a total of 1091 posts for the three aforementioned social media platforms, is presented herein. Themes of the AI-generated content proposed for each platform were classified into 6 categories, including patient-related, practice-related, educational, "uplifting", interactive, and promotional posts. Overall, 91 publicly recognized holidays, observant, and awareness days were incorporated into the content calendars. The AI model demonstrated an ability to differentiate between the distinct formats of each of the three social media platforms investigated, generating unique ideas for each, and providing detailed content development and posting instructions, scripts, and post captions, leveraging features specific to each platform.

Conclusions: By providing detailed and actionable social media content creation and posting plans to plastic surgeons, presently available AI models can be readily leveraged to assist in and significantly alleviate the burden associated with social media account management, content generation, and potentially patient conversion.