Artificial intelligence-based refractive error prediction and EVO-implantable collamer lens power calculation for myopia correction.

Authors:
Jiang Y; Shen Y; Chen X; Niu L; Li B and 6 more

Journal:
Eye Vis (Lond)

Publication Year: 2023

DOI:
10.1186/s40662-023-00338-1

PMCID:
PMC10150472

PMID:
37121995

Journal Information

Full Title: Eye Vis (Lond)

Abbreviation: Eye Vis (Lond)

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Ophthalmology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

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3/6
50.0% Transparent
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Evidence found in paper:

"Declarations Ethics approval and consent to participateThe Ethics Committee of the Eye and ENT Hospital of Fudan University (No. 2021018) approved the study, and all study procedures adhered to the tenets of the Declaration of Helsinki. Each participant provided informed consent after receiving a detailed explanation of the procedure before treatment. In this study, patient-identifiable data were hidden. Consent for publicationNot applicable. Competing interestsThe authors declare that they have no competing interests. Competing interests The authors declare that they have no competing interests."

Evidence found in paper:

"Funding This study was supported by the National Natural Science Foundation of China (Grant Nos. 82171095 and 81770955), Project of Shanghai Science and Technology (Grant Nos. 19140900700 and 20410710100), Clinical Research Plan of SHDC (Grant No. SHDC2020CR1043B), Research Project Grant of Shanghai Municipal Commission of Health and Family Planning (Grant No. 20204Y0058), National Natural Science Foundation of China for Young Scholars (Grant No. 82101183), Project of Shanghai Xuhui District Science and Technology (Grant No. 2020-015, XHLHGG202104), Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care (Grant No. 20DZ2255000), Construction of a 3D digital intelligent prevention and control platform for the whole life cycle of highly myopic patients in the Yangtze River Delta (Grant No. 21002411600)."

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Last Updated: Aug 05, 2025