Salvato in:
| Autori principali: | , , , , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2505.05516 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866912367164522496 |
|---|---|
| author | Wu, Yue Guo, Yibo Yan, Yulong Yang, Jiancheng Zhou, Xin Cheng, Ching-Yu Shi, Danli He, Mingguang |
| author_facet | Wu, Yue Guo, Yibo Yan, Yulong Yang, Jiancheng Zhou, Xin Cheng, Ching-Yu Shi, Danli He, Mingguang |
| contents | We envision the "virtual eye" as a next-generation, AI-powered platform that uses interconnected foundation models to simulate the eye's intricate structure and biological function across all scales. Advances in AI, imaging, and multiomics provide a fertile ground for constructing a universal, high-fidelity digital replica of the human eye. This perspective traces the evolution from early mechanistic and rule-based models to contemporary AI-driven approaches, integrating in a unified model with multimodal, multiscale, dynamic predictive capabilities and embedded feedback mechanisms. We propose a development roadmap emphasizing the roles of large-scale multimodal datasets, generative AI, foundation models, agent-based architectures, and interactive interfaces. Despite challenges in interpretability, ethics, data processing and evaluation, the virtual eye holds the potential to revolutionize personalized ophthalmic care and accelerate research into ocular health and disease. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_05516 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | AI-powered virtual eye: perspective, challenges and opportunities Wu, Yue Guo, Yibo Yan, Yulong Yang, Jiancheng Zhou, Xin Cheng, Ching-Yu Shi, Danli He, Mingguang Tissues and Organs Artificial Intelligence Human-Computer Interaction We envision the "virtual eye" as a next-generation, AI-powered platform that uses interconnected foundation models to simulate the eye's intricate structure and biological function across all scales. Advances in AI, imaging, and multiomics provide a fertile ground for constructing a universal, high-fidelity digital replica of the human eye. This perspective traces the evolution from early mechanistic and rule-based models to contemporary AI-driven approaches, integrating in a unified model with multimodal, multiscale, dynamic predictive capabilities and embedded feedback mechanisms. We propose a development roadmap emphasizing the roles of large-scale multimodal datasets, generative AI, foundation models, agent-based architectures, and interactive interfaces. Despite challenges in interpretability, ethics, data processing and evaluation, the virtual eye holds the potential to revolutionize personalized ophthalmic care and accelerate research into ocular health and disease. |
| title | AI-powered virtual eye: perspective, challenges and opportunities |
| topic | Tissues and Organs Artificial Intelligence Human-Computer Interaction |
| url | https://arxiv.org/abs/2505.05516 |