Artificial Intelligence and Hepatic Surgery | ||||
| The Egyptian Journal of Surgery | ||||
| Volume 43, Issue 4, October 2024, Page 1127-1130 PDF (238.99 K) | ||||
| Document Type: Review Article | ||||
| DOI: 10.21608/EJSUR.2024.322403.1206 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Wayne Lee1; S. Vincent Grasso2; Heba Taher3; Andrew Gumbs  4
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| 1Institute of Human Nutrition, Columbia University, New York, NY, USA | ||||
| 2Department of Electrical & Computer Engineering, University of New Mexico, Albuquerque, NM, USA, | ||||
| 3Department of Pediatric Surgery, Cairo University Hospital, Cairo, Egypt | ||||
| 4Department of General, Visceral, Vascular and Transplantation Surgery,University of Magdeburg, Magdeburg, Germany, Department of Advanced & Minimally Invasive Surgery, American Hospital Tbilisi, Tbilisi, Republic of Georgia. | ||||
| Abstract | ||||
| 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. | ||||
| Keywords | ||||
| Artificial Intelligence; AI; surgery; AI surgery; surgomics | ||||
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