Surgomics and the Artificial intelligence, Radiomics, Genomics, Oncopathomics and Surgomics (AiRGOS) Project

Andrew A. Gumbs, Roland Croner, Mohammed Abu-Hilal, Elisa Bannone, Takeaki Ishizawa, Gaya Spolverato, Isabella Frigerio, Ajith Siriwardena, Nouredin Messaoudi
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Abstract

The journal Artificial Intelligence Surgery was established to explore the integration of Artificial Intelligence (AI) in surgery. It originated from the desire to understand the potential of true robotic surgery, as existing robotic systems are tele-manipulators rather than autonomous robots. AI’s role in surgery involves levels of autonomy and a balance between human expertise and technological advancements. In this regard, a new field of Surgiomics emerges, integrating patient data such as genomics, radiomics, and pathomics to enhance surgical decision-making. Overcoming limitations in surgical data analysis, AI processes vast amounts of data, detects subtle patterns, and explores complex relationships. As Surgiomics continues to evolve, it holds the potential to reshape surgical patient management. Initiatives like the Artificial intelligence, Radiomics, Genomics, Oncopathomics and Surgomics (AiRGOS) Project aim to develop AI algorithms for precision therapeutic treatments in cancer patients using radiologic imaging, genomic sequencing, and clinical data. In this commentary, we envision a future where AI technologies revolutionize surgical decision-making and create personalized treatment plans based on comprehensive patient data.
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外科组学和人工智能、放射组学、基因组学、肿瘤病理学和外科组学(AiRGOS)项目
创刊《人工智能外科》,探讨人工智能(AI)在外科手术中的融合。它源于了解真正的机器人手术潜力的愿望,因为现有的机器人系统是远程操纵器,而不是自主机器人。人工智能在外科手术中的作用涉及到自主性水平,以及人类专业知识和技术进步之间的平衡。在这方面,外科组学出现了一个新的领域,整合患者数据,如基因组学、放射组学和病理学,以提高手术决策。人工智能克服了手术数据分析的局限性,可以处理大量数据,检测细微的模式,并探索复杂的关系。随着外科组学的不断发展,它具有重塑外科病人管理的潜力。人工智能、放射组学、基因组学、肿瘤病理学和外科组学(AiRGOS)项目等项目旨在开发人工智能算法,利用放射成像、基因组测序和临床数据对癌症患者进行精确治疗。在这篇评论中,我们设想了一个未来,人工智能技术将彻底改变手术决策,并根据全面的患者数据创建个性化的治疗计划。
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