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Enhancing diagnostic accuracy in rare and common fundus diseases with a knowledge-rich vision-language model
Enhancing diagnostic accuracy in rare and common fundus diseases with a knowledge-rich vision-language model
Journal:
Nature Communications
Published:
2025-07-01
DOI
:
10.1038/s41467-025-60577-9
Affiliations:
29
Authors:
49
Go to article
Institutions
Authors
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Joint Shantou International Eye Center (JSIEC), China
19.500000
19.500000
0.40
National University of Singapore (NUS), Singapore
4.500000
0.09
The Chinese University of Hong Kong (CUHK), China
2.500000
0.05
Longgang Ear-Nose-Throat (ENT) Hospital, China
2.000000
0.04
Singapore Eye Research Institute (SERI), SNEC, Singapore
1.750000
0.04
UCL, United Kingdom (UK)
1.166667
0.02
University of Pennsylvania (Penn), United States of America (USA)
1.000000
0.02
Anhui Medical University (AHMU), China
1.000000
0.02
Nanjing University of Aeronautics and Astronautics (NUAA), China
1.000000
0.02
The University of Hong Kong (HKU), China
1.000000
0.02
Sichuan University (SCU), China
1.000000
0.02
Big Vision, China
1.000000
0.02
Songshan Lake Central Hospital of Dongguan City, China
1.000000
0.02
University of Exeter, United Kingdom (UK)
1.000000
0.02
Shenzhen Aier Eye Hospital, China
1.000000
0.02
Tianjin University (TJU), China
1.000000
0.02
Stanford University School of Medicine, United States of America (USA)
1.000000
0.02
UW Medicine, United States of America (USA)
1.000000
0.02
Massachusetts Eye and Ear Infirmary (MEEI), United States of America (USA)
1.000000
0.02
Institute of High Performance Computing (IHPC), A*STAR, Singapore
1.000000
0.02
NIHR Moorfields Biomedical Research Centre (BRC), United Kingdom (UK)
0.833333
0.02
Duke-NUS Medical School, Singapore
0.750000
0.02
Tsinghua University, China
0.500000
0.01
Beijing Tsinghua Chang Gung Hospital, Tsinghua, China
0.500000
0.01
Soochow University, China
0.500000
0.01
State Key Laboratory of Radiation Medicine and Protection, Soochow University, China
0.500000
0.01
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