Abstract
This letter explores the potential of artificial intelligence (AI) in personalized surgical planning. AI offers a powerful toolkit to create patient-specific roadmaps, enhancing preoperative analysis, decision-making, and surgical simulation. Traditional surgical planning relies on subjective interpretations of medical images and can be impacted by surgeon fatigue or anatomical variations. AI-powered analysis with deep learning algorithms can dissect complex images, identifying subtle anatomical variations and enabling more precise surgical targeting. Predictive analytics, leveraging vast surgical datasets, anticipate potential intraoperative risks, allowing surgeons to proactively prepare. Additionally, AI facilitates personalized surgical simulations using 3D virtual models, optimizing surgical strategies and minimizing tissue damage. Integration of AI into surgical planning promises significant improvements in patient outcomes, including increased precision, improved efficiency with shorter operating times, and enhanced patient safety through risk identification. However, challenges remain, including data quality and mitigating bias in AI algorithms, ethical considerations regarding patient privacy and surgeon autonomy, and the need for robust regulatory frameworks. The future of AI in surgery hinges on continued research and collaboration. Standardized data collection, development of explainable AI models, and rigorous clinical trials are crucial for unlocking AI's full potential. This surgeon-AI partnership has the potential to revolutionize surgical care, offering a personalized approach that optimizes outcomes for each patient.