Artificial Intelligence and Hepatic Surgery

Abstract

Artificial Intelligence (AI) is rapidly transforming the field of surgery, particularly hepatic surgery, by enhancing diagnosticaccuracy, 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 augmentedreality, which empower surgeons with tools that improve precision and reduce complications. AI-driven platforms, suchas the Artificial intelligence Radiomics Genomics Oncopathomics and Surgomics (AiRGOS) Project, demonstrate thepotential of integrating multiomics data-including radiomics, genomics, and pathomics-to provide a comprehensiveunderstanding of patient-specific disease profiles and inform individualized treatment plans. AI's role extends beyond theoperating room, with virtual reality simulations and 3D printing enhancing surgical training and education, allowing forrisk-free practice of complex procedures. AI also plays a pivotal role in post-operative care, where predictive models helpanticipate complications and optimize patient management. Despite these advancements, the adoption of AI in surgeryfaces significant ethical and technological challenges, including data security, trust in AI-driven decision-making, andmaintaining transparency in patient-provider interactions. Addressing these issues through multidisciplinary collaborationand continued technological refinement is essential to fully realize AI's potential in advancing the safety, efficacy, andpersonalization of surgical care.

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