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Haiyang Zhang Department of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China

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Shuo Wu Department of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China

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Shuyu Hu Department of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China

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Xianqun Fan Department of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China

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Xuefei Song Department of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China

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Tienan Feng Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Huifang Zhou Department of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China

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heterogeneity profiling through high-dimensional quantitative data extracted from radiological images ( 27 , 36 ). Furthermore, the application of advanced modeling techniques like machine learning and artificial intelligence ( 37 ) empowers the construction of

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Georgios Kostopoulos Department of Endocrinology and Metabolism, Ippokratio General Hospital of Thessaloniki, Greece

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Grigoris Effraimidis Department of Endocrinology and Metabolic Diseases, Larissa University Hospital, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece

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). Furthermore, C 2 HEST predicts 1-year AF and may be applicable to patients with hyperthyroidism. Before implementation in clinical practice, external validation of C 2 HEST model in patients with hyperthyroidism is of cardinal importance. Of note, a machine-learning

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