Banoub Raphael G, Sanghvi Harshal, Gill Gurnoor S, Paredes Alfredo A, Bains Harnaina K, Patel Anita, Agarwal Ankur, Gupta Shailesh
Department of Ophthalmology, Broward Health, Fort Lauderdale, USA.
Department of Technology and Clinical Trials, Advanced Research, Deerfield Beach, USA.
Cureus. 2024 Dec 22;16(12):e76209. doi: 10.7759/cureus.76209. eCollection 2024 Dec.
This literature review explores the emerging role of digital twin (DT) technology in ophthalmology, emphasizing its potential to revolutionize personalized medicine. DTs integrate diverse data sources, including genetic, environmental, and real-time patient data, to create dynamic, predictive models that enhance risk assessment, surgical planning, and postoperative care. The review highlights vital case studies demonstrating the application of DTs in improving the early detection and management of diseases such as glaucoma and age-related macular degeneration. While implementing DTs presents challenges, including data integration and privacy concerns, the potential benefits, such as improved patient outcomes and cost savings, position DTs as a valuable tool in the future of ophthalmic care. The review underscores the need for further research to address these challenges and fully realize the potential of DTs in clinical practice.
这篇文献综述探讨了数字孪生（DT）技术在眼科领域中新兴的作用，强调了其变革个性化医疗的潜力。数字孪生整合了包括遗传、环境和实时患者数据在内的多种数据源，以创建动态的预测模型，从而加强风险评估、手术规划和术后护理。该综述突出了重要的案例研究，展示了数字孪生在改善青光眼和年龄相关性黄斑变性等疾病的早期检测和管理方面的应用。虽然实施数字孪生存在挑战，包括数据整合和隐私问题，但潜在的益处，如改善患者预后和节省成本，使数字孪生成为未来眼科护理中的一项有价值的工具。该综述强调需要进一步研究以应对这些挑战，并充分实现数字孪生在临床实践中的潜力。
