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人工智能在前列腺癌中的当代应用:一项i-TRUE研究。

Contemporary application of artificial intelligence in prostate cancer: an i-TRUE study.

作者信息

Hameed B M Zeeshan, Shah Milap, Naik Nithesh, Ibrahim Sufyan, Somani Bhaskar, Rice Patrick, Soomro Naeem, Rai Bhavan Prasad

机构信息

Department of Urology, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.

Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.

出版信息

Ther Adv Urol. 2021 Jan 23;13:1756287220986640. doi: 10.1177/1756287220986640. eCollection 2021 Jan-Dec.

Abstract

Artificial intelligence (AI) involves technology that is able to emulate tasks previously carried out by humans. The growing incidence, novel diagnostic strategies and newer available therapeutic options have had resource and economic impacts on the healthcare organizations providing prostate cancer care. AI has the potential to be an adjunct to and, in certain cases, a replacement for human input in prostate cancer care delivery. Automation can also address issues such as inter- and intra-observer variability and has the ability to deliver analysis of large volume datasets quickly and accurately. The continuous training and testing of AI algorithms will facilitate development of futuristic AI models that will have integral roles to play in diagnostics, enhanced training and surgical outcomes and developments of prostate cancer predictive tools. These AI related innovations will enable clinicians to provide individualized care. Despite its potential benefits, it is vital that governance with AI related care is maintained and responsible adoption is achieved.

摘要

人工智能(AI)涉及能够模拟先前由人类执行的任务的技术。前列腺癌发病率的不断上升、新颖的诊断策略以及更新的可用治疗选择,对提供前列腺癌护理的医疗保健组织产生了资源和经济影响。在前列腺癌护理提供方面,人工智能有可能成为人类投入的辅助手段,在某些情况下甚至可以取而代之。自动化还可以解决诸如观察者间和观察者内变异性等问题,并有能力快速准确地对大量数据集进行分析。对人工智能算法的持续训练和测试将促进未来人工智能模型的开发,这些模型将在前列腺癌诊断、强化培训、手术结果以及预测工具的开发中发挥不可或缺的作用。这些与人工智能相关的创新将使临床医生能够提供个性化护理。尽管有潜在益处,但维持与人工智能相关护理的治理并实现负责任的应用至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd34/7841858/6e3b4d913145/10.1177_1756287220986640-fig1.jpg

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