Research Overview

Rising healthcare and surgery costs are increasing the burden on healthcare systems, making it difficult for hospitals to offer high-quality care at affordable prices. Time-consuming manual processes that significantly impact surgeon time and workload, hospital cost increases due to delayed surgery, and low patient satisfaction levels due to human error are the current challenges in surgery. Artificial intelligence technologies are increasingly critical in preoperative surgical planning to help surgeons create accurate surgical plans, assess patient risks of intraoperative and postoperative complications, and improve patient outcomes. AI refers to the capability of a computer program to perform tasks and processes associated with human intelligence. AI enables risk assessment, systems scheduling, segmentation of anatomical structure, and automation in the preoperative phase during a surgical procedure. The growing adoption of AI and ML technologies in surgical planning will accelerate due to their potential to reduce costs, shorten patient wait times, generate precise data for clinical decision-making, and improve surgical outcomes.