Accelerating innovation by integrating artificial intelligence into a global surgery hackathon

Background: Investigating in AI’s utility in diverse learning environments can provide insights into its broader applicability in healthcare innovation. Objectives: This study aims to assess the impact on idea generation and implications of incorporating generative AI technology into the framework of a global surgery hackathon, focusing on its use with surgical care providers in Sub-Saharan Africa. Method: A 120-minute interdisciplinary hackathon in Kenya was organised. The event featured the use of ChatGPT, a large language AI model from OpenAI, to facilitate and guide team discussions and solution development. Data was collected through direct observations and discussions among participants. Results and Conclusions: The hackathon saw active participation from ninety attendees, who were divided into ten teams of 8-12 members each. These groups utilised AI to seek information, derive inspiration, and refine their ideas. Notable challenges identified included issues related to AI-generated biases and the accuracy of information provided. The study serves as a proof-of-concept that generative AI can effectively be integrated into hackathons to foster innovation, with the caveat that future implementations should focus on developing unbiased and accurate AI models. This approach has significant potential to improve educational strategies and operational efficiency in the healthcare and technology sectors.