- GH164
- 4825
- danli.shi@polyu.edu.hk
- Dr Shi's research interests include digital health in ophthalmology, generative AI, multimodality AI, and the integration of AI into clinical practice.
ORCID ID
SCOPUS IDBiography
Dr Shi is an ophthalmologist with a keen interest in artificial intelligence. She undertook her medical training at Shanghai Jiao Tong University School of Medicine (BS and MS degrees) and obtained a doctorate at Sun Yat-sen University in 2022. She has a strong research interest in artificial intelligence algorithm development and its translation into clinical practice.
Research Overview
Dr Shi’s research focuses on applying artificial intelligence to ophthalmology and digital health. Her current interests include generative AI, multimodal AI agents, ocular digital biomarkers, myopia management, and the development of autonomous clinics.
Education and Academic Qualifications
- Bachelor of Medicine, Shanghai Jiao Tong University
- Master of Ophthalmology, Shanghai Jiao Tong University
- Doctor of Philosophy, Sun Yat-sen University
Research Interests
Research Output
- Shi D, He S, Yang J, Zheng Y, He M. One-shot Retinal Artery and Vein Segmentation via Cross- modality Pretraining. Ophthalmol Sci. 2024;4:100363. doi: 10.1016/j.xops.2023.100363
- Chen R, Zhang W, Song F, Yu H, Cao D, Zheng Y, He M, Shi D*. Translating color fundus photography to indocyanine green angiography using deep-learning for age-related macular degeneration screening. NPJ Digit Med. 2024;7:34. doi: 10.1038/s41746-024-01018-7
- Chen X, Zhang W, Xu P, Zhao Z, Zheng Y, Shi D*, He M. FFA-GPT: an automated pipeline for fundus fluorescein angiography interpretation and question-answer. NPJ Digit Med. 2024;7:111. doi: 10.1038/s41746-024-01101-z
- Chen X, Zhao Z, Zhang W, Xu P, Wu Y, Xu M, Gao L, Li Y, Shang X, Shi, D*., He M. EyeGPT for Patient Inquiries and Medical Education: Development and Validation of an Ophthalmology Large Language Model. J Med Internet Res. 2024;26:e60063. doi: 10.2196/60063
- Yusufu M, Friedman DS, Kang M, Padhye A, Shang X, Zhang L, Shi D*, He M. Retinal vascular fingerprints predict incident stroke: findings from the UK Biobank cohort study. Heart. 2025:heartjnl-2024-324705. doi: 10.1136/heartjnl-2024-324705
- Zhang W, Huang S, Yang J, Chen R, Ge Z, Zheng Y, Shi D*, He M. Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance. Paper presented at: Medical Image Computing and Computer Assisted Intervention – MICCAI; 2024; Morocco. doi: 10.1007/978-3-031-72378-0_64.
- Shi D*, Zhang W, Yang J, Huang S, Chen X, Xu P, Jin K, Lin S, Wei J, Yusufu M, et al. A multimodal visual–language foundation model for computational ophthalmology. npj Digital Medicine. 2025;8:381. doi: 10.1038/s41746-025-01772-2
- Qiu Y, Chen X, Wu X, Li Y, Xu P, Jin K, Shang X, Chotcomwongse P, He M, Shi D*. Embodied artificial intelligence in ophthalmology. npj Digital Medicine. 2025;8:351. doi: 10.1038/s41746-025-01754-4
- Wu X, Wang L, Chen R, Liu B, Zhang W, Yang X, Feng Y, He M, Shi D*. Generation of Fundus Fluorescein Angiography Videos for Health Care Data Sharing. JAMA Ophthalmology. 2025. doi: 10.1001/jamaophthalmol.2025.1419
- Wang B, Shi D, Zhang Z, Zhang L, Sun Y, Liu J, Yan X, Jing J, Li J, Song J, et al. Effect of Intensive Blood Pressure Lowering Treatment on Retinal Microvasculature. JACC. 2025;86:1377-1388. doi: 10.1016/j.jacc.2025.05.020
- PI: General Research Fund, Hong Kong SAR. (2025-2028) - Clinical Validation of Non-Invasive FFA Generation Technology in Diabetic Retinopathy Diagnosis: A Multicenter, Randomized Controlled Trial Assessing Accuracy and Efficacy
- Special Merit Award, French Inventors Federation and Europe-France Inventors
- Gold Medal with Congratulations of the Jury, 50th International Exhibition of Inventions Geneva (Geneva Inventions Expo)
