Upreti Garima
Department of Otorhinolaryngology, All India Institute of Medical Sciences, Rajkot, Gujarat India.
Indian J Otolaryngol Head Neck Surg. 2024 Apr;76(2):2184-2190. doi: 10.1007/s12070-023-04415-8. Epub 2023 Dec 20.
This narrative review examines the evolving landscape of artificial intelligence (AI) integration in skull base surgery, exploring its multifaceted applications and impact on various aspects of patient care.
Extensive literature review was conducted to gather insights into the role of AI in skull base surgery. Key aspects such as diagnosis, image analysis, surgical planning, navigation, predictive analytics, clinical decision-making, postoperative care, rehabilitation, and virtual simulations were explored. Studies were sourced from PubMed using keyword search strategy for relevant headings, sub-headings and cross-referencing.
AI enhances early diagnosis through diagnostic algorithms that guide investigations based on clinical and radiological data. AI-driven image analysis enables accurate segmentation of intricate structures and extraction of radiomics data, optimizing preoperative planning and predicting treatment response. In surgical planning, AI aids in identifying critical structures, leading to precise interventions. Real-time AI-based navigation offers adaptive guidance, enhancing surgical accuracy and safety. Predictive analytics empower risk assessment, treatment planning, and outcome prediction. AI-driven clinical decision support systems optimize resource allocation and support shared decision-making. Postoperative care benefits from AI's monitoring capabilities and personalized rehabilitation protocols. Virtual simulations powered by AI expedite skill development and decision-making in complex procedures.
AI contributes to accurate diagnosis, surgical planning, navigation, predictive analysis, and postoperative care. Ethical considerations and data quality assurance are essential, ensuring responsible AI implementation. While AI serves as a valuable complement to clinical expertise, its potential to enhance decision-making, precision, and efficiency in skull base surgery is evident.
本叙述性综述探讨了人工智能(AI)在颅底手术中不断演变的应用情况,探究其多方面的应用以及对患者护理各个方面的影响。
进行了广泛的文献综述,以深入了解人工智能在颅底手术中的作用。探讨了诊断、图像分析、手术规划、导航、预测分析、临床决策、术后护理、康复和虚拟模拟等关键方面。使用关键词搜索策略,从PubMed中检索相关标题、副标题和交叉引用的研究。
人工智能通过基于临床和放射学数据指导检查的诊断算法来加强早期诊断。人工智能驱动的图像分析能够对复杂结构进行准确分割并提取放射组学数据,优化术前规划并预测治疗反应。在手术规划中,人工智能有助于识别关键结构,从而实现精确干预。基于人工智能的实时导航提供自适应指导,提高手术准确性和安全性。预测分析有助于风险评估、治疗规划和结果预测。人工智能驱动的临床决策支持系统优化资源分配并支持共同决策。术后护理受益于人工智能的监测能力和个性化康复方案。由人工智能驱动的虚拟模拟加快了复杂手术中的技能培养和决策制定。
人工智能有助于准确诊断、手术规划、导航、预测分析和术后护理。伦理考量和数据质量保证至关重要,确保人工智能的负责任实施。虽然人工智能是临床专业知识的宝贵补充,但其在提高颅底手术决策、精度和效率方面的潜力是显而易见的。