Singapore National Eye Centre, Singapore Eye Research Institute, Singapore.
Singapore National Eye Centre, Singapore Eye Research Institute, Singapore; Duke-NUS Medical School Singapore, Singapore.
Asia Pac J Ophthalmol (Phila). 2024 Jul-Aug;13(4):100091. doi: 10.1016/j.apjo.2024.100091. Epub 2024 Aug 28.
Generative Artificial Intelligence (GenAI) are algorithms capable of generating original content. The ability of GenAI to learn and generate novel outputs alike human cognition has taken the world by storm and ushered in a new era. In this review, we explore the role of GenAI in healthcare, including clinical, operational, and research applications, and delve into the cybersecurity risks of this technology. We discuss risks such as data privacy risks, data poisoning attacks, the propagation of bias, and hallucinations. In this review, we recommend risk mitigation strategies to enhance cybersecurity in GenAI technologies and further explore the use of GenAI as a tool in itself to enhance cybersecurity across the various AI algorithms. GenAI is emerging as a pivotal catalyst across various industries including the healthcare domain. Comprehending the intricacies of this technology and its potential risks will be imperative for us to fully capitalise on the benefits that GenAI can bring.
生成式人工智能（GenAI）是能够生成原创内容的算法。GenAI 具有像人类认知一样学习和生成新颖输出的能力，它席卷全球，开创了一个新时代。在这篇综述中，我们探讨了 GenAI 在医疗保健领域的作用，包括临床、运营和研究应用，并深入研究了这项技术的网络安全风险。我们讨论了数据隐私风险、数据中毒攻击、偏见的传播和幻觉等风险。在这篇综述中，我们建议采取风险缓解策略来增强 GenAI 技术的网络安全，并进一步探讨将 GenAI 用作工具本身来增强各种 AI 算法的网络安全。GenAI 正在成为包括医疗保健领域在内的各个行业的关键催化剂。理解这项技术的复杂性及其潜在风险对于我们充分利用 GenAI 带来的好处至关重要。
