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Artificial intelligence in ophthalmology: from data to algorithm and real-world application

Description: Based on extensive expertise and experience in artificial intelligence (AI) in ophthalmology, this project will collect clinical data from electronic medical records of 200K patients, construct a general AI algorithm, with an aim to develop and validate a clinical decision system for ophthalmology that is able to predict disease outcome and prognosis, as well as help clinicians decide what is the best treatment option, based on real-world multi-modality clinical data.
Amount: A$2,749,000
Funding type: research
Funder scheme: Investigator Grants - Leadership
Investigator: Mingguang He
Institution: Centre for Eye Research Australia
Funded outputs count: 29
Funder award ID: 1175405
OpenAlex ID: G4222056733
2025 · Sanil Joseph, Xiaotian Chen, et al. · BMJ Open Ophthalmology · 1
2025 · Catherine L. Jan, Algis Vingrys, et al. · Ophthalmic and Physiological Optics · 1
2025 · Jiahao Liu, Xianwen Shang, et al. · Diabetes Obesity and Metabolism · 8
2025 · Kunhong Xiao, Li Li, et al. · Contact Lens and Anterior Eye · 14
2024 · Mayinuer Yusufu, Yutong Chen, et al. · Translational Vision Science & Technology · 17
2023 · Ruiye Chen, Jinyi Xu, et al. · GeroScience · 23
2023 · Zhuoting Zhu, Dan Liu, et al. · Journal of Diabetes · 37
2022 · Shiran Zhang, Ruiye Chen, et al. · American Journal of Kidney Diseases · 64
2022 · Zhuoting Zhu, Wenyi Hu, et al. · BMC Medicine · 91
2022 · Yixiong Yuan, Wei Wang, et al. · Clinical and Experimental Ophthalmology · 4
2022 · Zhuoting Zhu, Danli Shi, et al. · British Journal of Ophthalmology · 195
2022 · Wenyi Hu, Tiancheng Chu, et al. · Journal of Alzheimer s Disease Reports · 1
2021 · Zhuoting Zhu, Wenyi Hu, et al. · EClinicalMedicine · 13
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