人工智能在疾病诊断中的影响综述：放射组学在神经肿瘤学中的作用
A Short Review on the Impact of Artificial Intelligence in Diagnosis Diseases: Role of Radiomics In Neuro-Oncology.
作者信息
Rahimi Mohammad, Rahimi Parsa
机构信息
Student Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Mazandaran, Iran.
Student Research Committee, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
出版信息
Galen Med J. 2023 Dec 16;12:e3158. doi: 10.31661/gmj.v12i.3158. eCollection 2023.
Artificial Intelligence (AI) is rapidly transforming various aspects of healthcare, including the field of diagnostics and treatment of diseases. This review article aimed to provide an in-depth analysis of the impact of AI, especially, radiomics in the diagnosis of neuro-oncology diseases. Indeed, it is a multidimensional task that requires the integration of clinical assessment, neuroimaging techniques, and emerging technologies like AI and radiomics. The advancements in these fields have the potential to revolutionize the accuracy, efficiency, and personalized approach to diagnosing neuro-oncology diseases, leading to improved patient outcomes and enhanced overall neurologic care. However, AI has some limitations, and ethical challenges should be addressed via future research.
人工智能（AI）正在迅速改变医疗保健的各个方面，包括疾病的诊断和治疗领域。这篇综述文章旨在深入分析人工智能，特别是放射组学在神经肿瘤疾病诊断中的影响。事实上，这是一项多维度任务，需要整合临床评估、神经成像技术以及人工智能和放射组学等新兴技术。这些领域的进展有可能彻底改变神经肿瘤疾病诊断的准确性、效率和个性化方法，从而改善患者预后并提高整体神经护理水平。然而，人工智能存在一些局限性，未来的研究应解决伦理挑战。
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