The Future of Artificial Intelligence in Surgery

被引:1
|
作者
Hamilton, Allan [1 ]
机构
[1] Univ Arizona Hlth Sci, Artificial Intelligence Div Simulat Educ & Trainin, Tucson, AZ 85721 USA
关键词
assessment of surgical proficiency; space exploration; operative anatomic overlay; augmented reality; diagnostic decision support systems; image-guided surgery; operative support systems; machine learning (ml); artificial intelligence (ai); OBJECTIVE STRUCTURED ASSESSMENT; TECHNICAL SKILLS; PREDICTION; REALITY; HEALTH; IMPACT; OSATS; CARE; HIP; AI;
D O I
10.7759/cureus.63699
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Until recently, innovations in surgery were largely represented by extensions or augmentations of the surgeon's perception. This includes advancements such as the operating microscope, tumor fluorescence, intraoperative ultrasound, and minimally invasive surgical instrumentation. However, introducing artificial intelligence (AI) into the surgical disciplines represents a transformational event. Not only does AI contribute substantively to enhancing a surgeon's perception with such methodologies as three-dimensional anatomic overlays with augmented reality, AI-improved visualization for tumor resection, and AI-formatted endoscopic and robotic surgery guidance. What truly makes AI so different is that it also provides ways to augment the surgeon's cognition. By analyzing enormous databases, AI can offer new insights that can transform the operative environment in several ways. It can enable preoperative risk assessment and allow a better selection of candidates for procedures such as organ transplantation. AI can also increase the efficiency and throughput of operating rooms and staff and coordinate the utilization of critical resources such as intensive care unit beds and ventilators. Furthermore, AI is revolutionizing intraoperative guidance, improving the detection of cancers, permitting endovascular navigation, and ensuring the reduction in collateral damage to adjacent tissues during surgery (e.g., identification of parathyroid glands during thyroidectomy). AI is also transforming how we evaluate and assess surgical proficiency and trainees in postgraduate programs. It offers the potential for multiple, serial evaluations, using various scoring systems while remaining free from the biases that can plague human supervisors. The future of AI-driven surgery holds promising trends, including the globalization of surgical education, the miniaturization of instrumentation, and the increasing success of autonomous surgical robots. These advancements raise the prospect of deploying fully autonomous surgical robots in the near future into challenging environments such as the battlefield, disaster areas, and even extraplanetary exploration. In light of these transformative developments, it is clear that the future of surgery will belong to those who can most readily embrace and harness the power of AI.
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页数:18
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