Oncology Department, AUSL Bologna, Bologna, Italy.
Medical Statistics Unit, University of Campania "Luigi Vanvitelli", Naples, Italy.
J Neurooncol. 2022 Sep;159(2):333-346. doi: 10.1007/s11060-022-04068-7. Epub 2022 Jun 28.
Artificial Intelligence (AI) involves several and different techniques able to elaborate a large amount of data responding to a specific planned outcome. There are several possible applications of this technology in neuro-oncology.
We reviewed, according to PRISMA guidelines, available studies adopting AI in different fields of neuro-oncology including neuro-radiology, pathology, surgery, radiation therapy, and systemic treatments.
Neuro-radiology presented the major number of studies assessing AI. However, this technology is being successfully tested also in other operative settings including surgery and radiation therapy. In this context, AI shows to significantly reduce resources and costs maintaining an elevated qualitative standard. Pathological diagnosis and development of novel systemic treatments are other two fields in which AI showed promising preliminary data.
It is likely that AI will be quickly included in some aspects of daily clinical practice. Possible applications of these techniques are impressive and cover all aspects of neuro-oncology.
人工智能（AI）涉及多种不同的技术，能够针对特定的预期结果处理大量数据。这项技术在神经肿瘤学中有多种可能的应用。
我们根据 PRISMA 指南，回顾了在神经肿瘤学的不同领域（包括神经放射学、病理学、手术、放射治疗和系统治疗）中采用 AI 的现有研究。
神经放射学领域的研究评估了 AI 的应用。然而，这项技术也正在其他手术环境中进行成功测试，包括手术和放射治疗。在这种情况下，人工智能可以显著减少资源和成本，同时保持较高的质量标准。病理学诊断和新型系统治疗的发展是 AI 显示出有前景的初步数据的另外两个领域。
AI 可能会很快被纳入日常临床实践的某些方面。这些技术的可能应用令人印象深刻，涵盖了神经肿瘤学的所有方面。
