USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE SELECTION OF IMPLANTS FOR AUGMENTATION MAMMOPLASTY

Abstract

Objective: To enhance the accuracy of predicting the outcomes of augmentation mammoplasty (AM). Methods: The study involves a retrospective analysis of data from 265 patients satisfied with the AM results. Artificial intelligence (AI) was trained using numerical variables, such as anthropometric measurements and patient preferences, as input data, and the implant parameters were used as output data Results: The machine learning (ML) algorithms supported clinicians in determining the optimal selection of implants in 81.5% of cases, indicating the practical applicability of the model. Conclusion: The ML approach can improve accuracy in selecting the most appropriate implant type and size, considering a wide range of individual parameters and patient wishes.

Keywords

• augmentation mammoplasty
• selection of implants
• artificial intelligence
• machine learning