摘要
一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。根据NewsRx记者在英国剑桥的新闻报道，研究表明，“生成人工智能在过去几年里彻底改变了医学。生成对抗网络(GAN)是一个深度学习框架，已经成为医学领域的一项强大技术，特别是眼科和图像分析。”新闻记者引用了剑桥大学的一篇文章:“本文回顾了当前有关GANs的眼科文献,重点介绍了GANs在眼科领域的重要贡献,简要介绍了生成性人工智能的另一个应用ChatGP T及其在眼科领域的潜力,并探讨了GANs在眼科成像中的潜在应用。”本文检索了PubMed,Ovid MEDLINE,Google Scholar,从一开始到2022年10月30日,检索了GAN在眼科领域的应用,共检索了40篇文献,包括GAN在眼科相关成像中的应用,包括光学相干断层扫描,光学磁共振成像,眼底摄影等。和超声；然而，我们也强调了几个挑战，这些挑战导致在某些迭代中产生不一致和非典型的结果。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Cambridge, United Kingdom, by NewsRx journalists, research stated, “Generative AI has revolutioni zed medicine over the past several years. A generative adversarial network (GAN) is a deep learning framework that has become a powerful technique in medicine, particularly in ophthalmology and image analysis.” The news correspondents obtained a quote from the research from the University o f Cambridge, “In this paper we review the current ophthalmic literature involvin g GANs, and highlight key contributions in the field. We briefly touch on ChatGP T, another application of generative AI, and its potential in ophthalmology. We also explore the potential uses for GANs in ocular imaging, with a specific emph asis on 3 primary domains: image enhancement, disease identification, and genera ting of synthetic data. PubMed, Ovid MEDLINE, Google Scholar were searched from inception to October 30, 2022 to identify applications of GAN in ophthalmology. A total of 40 papers were included in this review. We cover various applications of GANs in ophthalmic-related imaging including optical coherence tomography, o rbital magnetic resonance imaging, fundus photography, and ultrasound; however, we also highlight several challenges, that resulted in the generation of inaccur ate and atypical results during certain iterations.”
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