Suppr超能文献

人工智能在颅面外科手术中的潜在作用。

Potential role of artificial intelligence in craniofacial surgery.

作者信息

Ryu Jeong Yeop, Chung Ho Yun, Choi Kang Young

机构信息

Department of Plastic and Reconstructive Surgery, School of Medicine, Kyungpook National University, Daegu, Korea.

Cell & Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, Korea.

出版信息

Arch Craniofac Surg. 2021 Oct;22(5):223-231. doi: 10.7181/acfs.2021.00507. Epub 2021 Oct 20.

Abstract

The field of artificial intelligence (AI) is rapidly advancing, and AI models are increasingly applied in the medical field, especially in medical imaging, pathology, natural language processing, and biosignal analysis. On the basis of these advances, telemedicine, which allows people to receive medical services outside of hospitals or clinics, is also developing in many countries. The mechanisms of deep learning used in medical AI include convolutional neural networks, residual neural networks, and generative adversarial networks. Herein, we investigate the possibility of using these AI methods in the field of craniofacial surgery, with potential applications including craniofacial trauma, congenital anomalies, and cosmetic surgery.

摘要

人工智能(AI)领域正在迅速发展,AI模型在医学领域的应用越来越广泛,尤其是在医学成像、病理学、自然语言处理和生物信号分析方面。基于这些进展,使人们能够在医院或诊所之外接受医疗服务的远程医疗在许多国家也在不断发展。医学AI中使用的深度学习机制包括卷积神经网络、残差神经网络和生成对抗网络。在此,我们研究了在颅面外科领域使用这些AI方法的可能性,其潜在应用包括颅面创伤、先天性畸形和整容手术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/8568494/41258ff05014/acfs-2021-00507f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验