Artificial Intelligence for the Assessment of Frailty and Sarcopenia in Cardiac Surgery Patients: A Scoping Review

This project contains the protocol and supplementary materials for a scoping review titled "Artificial Intelligence for the Assessment of Frailty and Sarcopenia in Cardiac Surgery Patients." The review aims to map the existing literature regarding the application of AI, Machine Learning, and Deep Learning for identifying frailty and sarcopenia in adults undergoing cardiac procedures (e.g., TAVR, CABG). Following the Joanna Briggs Institute (JBI) methodology and PRISMA-ScR guidelines, this study will explore the types of AI models used, data sources utilized (e.g., CT imaging, EHR), and validation methods against clinical standards.