Artificial Intelligence (AI) is rapidly transforming the field of surgery, particularly hepatic surgery, by enhancing diagnostic
accuracy, clinical decision-making, and surgical outcomes across pre-operative, intra-operative, and post-operative phases.
This editorial explores the integration of AI technologies, including machine learning, computer vision, and augmented
reality, which empower surgeons with tools that improve precision and reduce complications. AI-driven platforms, such
as the Artificial intelligence Radiomics Genomics Oncopathomics and Surgomics (AiRGOS) Project, demonstrate the
potential of integrating multiomics data-including radiomics, genomics, and pathomics-to provide a comprehensive
understanding of patient-specific disease profiles and inform individualized treatment plans. AI's role extends beyond the
operating room, with virtual reality simulations and 3D printing enhancing surgical training and education, allowing for
risk-free practice of complex procedures. AI also plays a pivotal role in post-operative care, where predictive models help
anticipate complications and optimize patient management. Despite these advancements, the adoption of AI in surgery
faces significant ethical and technological challenges, including data security, trust in AI-driven decision-making, and
maintaining transparency in patient-provider interactions. Addressing these issues through multidisciplinary collaboration
and continued technological refinement is essential to fully realize AI's potential in advancing the safety, efficacy, and
personalization of surgical care.