Nakhate Vihang, Gonzalez Castro L Nicolas
Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Front Neurosci. 2023 Dec 14;17:1217629. doi: 10.3389/fnins.2023.1217629. eCollection 2023.
Artificial intelligence (AI) describes the application of computer algorithms to the solution of problems that have traditionally required human intelligence. Although formal work in AI has been slowly advancing for almost 70 years, developments in the last decade, and particularly in the last year, have led to an explosion of AI applications in multiple fields. Neuro-oncology has not escaped this trend. Given the expected integration of AI-based methods to neuro-oncology practice over the coming years, we set to provide an overview of existing technologies as they are applied to the neuropathology and neuroradiology of brain tumors. We highlight current benefits and limitations of these technologies and offer recommendations on how to appraise novel AI-tools as they undergo consideration for integration into clinical workflows.
人工智能（AI）是指将计算机算法应用于解决传统上需要人类智能才能解决的问题。尽管人工智能领域的正式研究在近70年里一直在缓慢推进，但过去十年，尤其是去年的发展，已引发了人工智能在多个领域的应用热潮。神经肿瘤学也未能逃过这一趋势。鉴于未来几年基于人工智能的方法有望融入神经肿瘤学实践，我们着手概述现有技术在脑肿瘤神经病理学和神经放射学中的应用情况。我们强调了这些技术当前的优势和局限性，并就如何评估新型人工智能工具以考虑将其整合到临床工作流程中提出了建议。
