Surgical innovation and technology

定制 医学 仿形(计算机编程) 步伐 手术机器人 佣金 机器人学 病人护理 工程管理 外科手术 新兴技术 手术计划 运营管理 机械人手术 技术开发 医学物理学 梅德林 工程伦理学 外科 卫生技术 外行人 技术管理
作者
Jeffrey B. Matthews,Jelle P. H. Ruurda,Peter G Vaughan-Shaw,Desmond Colm Winter,Andrew David Beggs,Andrew Yiu,Brian Ritchie Davidson,Barbara Seeliger,Xin Chen,Danail V. Stoyanov,Daphne D. D. Rietbergen,Fijs W. B. van Leeuwen,Gerlof M Kuiper,Guglielmo Niccolò Piozzi,Jianing Qiu,James K. Kinross,João Ramalhinho,Jim S Khan,Kurinchi Selvan Gurusamy,Kyle Lam
出处
期刊:British Journal of Surgery [Oxford University Press]
卷期号:113 (5)
标识
DOI:10.1093/bjs/znaf224
摘要

BACKGROUND: The pace of surgical innovation appears ever faster. Innovation is being freed from the design constraints of the opposable digits of a surgeon's hand through the use of programmable binary digits. Surgeons must be the drivers of change and central to the application of innovations. We should collaborate with industry, engineers and scientists to think out of the box but must consider also expense, environmental impact, equity, and ethics. But we should not be blinded by shiny technology: innovation without impact is mere noise. The ultimate considerations are the diagnosis and management of surgical disease, of improving the care of our patients. METHODS: Expert surgeons, scientists and engineers across the world were identified and invited to describe areas of innovation within surgery. They were given free rein to review their areas of expertise and to discuss both current and future applications of technology within surgical care. RESULTS: The Commission spans multiple surgical specialties and scientific domains. It reviews translational genomics, including the role of ctDNA, alongside microbiomic and proteomic applications in improving the diagnosis, treatment and monitoring of surgical disease. Applications to enhance surgical procedures are described, from medical micro/nanorobots for minimally invasive interventions, sensory-enriched surgery with visual optimization and molecular image-guidance to intelligent and semiautomated instruments. The expansion and broad influence of artificial intelligence in surgical writing, training and simulation, diagnosis and robotics is widely described. The role of surgical innovation and technology in driving personalized care for benign and malignant surgical disease from genomic profiling to bespoke surgical and non-surgical treatment pathways and surveillance is considered. CONCLUSION: The future of surgery is poised to become more precise, personalized, and effective. Collaboration with engineers, data scientists, and industry partners not only represents an exciting opportunity for surgeons to participate in team science but is critical to focus innovation goals on optimizing patient care and outcomes.
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