Department of Precision Medicine, University of Campania "L. Vanvitelli", 80131 Naples, Italy.
Unit of Medical Oncology 2, Azienda Ospedaliera Universitaria Pisana, 56126 Pisa, Italy.
Curr Oncol. 2024 Aug 27;31(9):4984-5007. doi: 10.3390/curroncol31090369.
The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-art cancer treatment, facilitating collaborative diagnosis and management by a diverse team of specialists. Despite the clear benefits in personalized patient care and improved outcomes, the increasing burden on MTBs due to rising cancer incidence and financial constraints necessitates innovative solutions. The advent of artificial intelligence (AI) in the medical field offers a promising avenue to support clinical decision-making. This review explores the perspectives of clinicians dedicated to the care of cancer patients-surgeons, medical oncologists, and radiation oncologists-on the application of AI within MTBs. Additionally, it examines the role of AI across various clinical specialties involved in cancer diagnosis and treatment. By analyzing both the potential and the challenges, this study underscores how AI can enhance multidisciplinary discussions and optimize treatment plans. The findings highlight the transformative role that AI may play in refining oncology care and sustaining the efficacy of MTBs amidst growing clinical demands.
多学科肿瘤委员会（MTB）的整合对于提供最先进的癌症治疗至关重要，通过多样化的专家团队协作，促进了诊断和管理。尽管在个性化患者护理和改善结果方面有明显的益处，但由于癌症发病率的上升和财务限制对 MTB 造成的负担不断增加，需要创新的解决方案。人工智能（AI）在医学领域的出现为支持临床决策提供了一个有前途的途径。本综述探讨了专门从事癌症患者护理的临床医生（外科医生、肿瘤内科医生和放射肿瘤医生）对 MTB 中 AI 应用的看法。此外，还研究了 AI 在涉及癌症诊断和治疗的各种临床专业中的作用。通过分析潜在的优势和挑战，本研究强调了 AI 如何增强多学科讨论和优化治疗计划。研究结果强调了 AI 可能在提高肿瘤学护理水平和维持 MTB 效率方面发挥的变革作用，以应对日益增长的临床需求。
