Best-Corrected Visual Acuity Quantitative Prediction for Cataract Patients: AI-Assisted Clinical Diagnostics Facilitation via the Inverse Problem Algorithm.

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Title: Best-Corrected Visual Acuity Quantitative Prediction for Cataract Patients: AI-Assisted Clinical Diagnostics Facilitation via the Inverse Problem Algorithm.
Authors: Lin, Ya-Hui1,2 (AUTHOR) ya-hui2@803.org.tw, Liang, Chun-Chieh3,4 (AUTHOR) liangchunchieh@gmail.com, Chou, Ying-Liang1,5,6 (AUTHOR) entchou@gmail.com, Lin, Chih-Sheng7 (AUTHOR) chihsheng.lin@benqmedicalcenter.com, Chen, Ke-Lin8 (AUTHOR) chenkl2m@me.com, Pan, Lung-Kwang1 (AUTHOR) lkpan@ctust.edu.tw, Cheng, Kai-Yuan1 (AUTHOR) kycheng@ctust.edu.tw, Ke, Ching-Hsiu1,9 (AUTHOR) kycheng@ctust.edu.tw
Source: Diagnostics (2075-4418). Oct2024, Vol. 14 Issue 19, p2126. 16p.
Database: Academic Search Ultimate
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  Data: Best-Corrected Visual Acuity Quantitative Prediction for Cataract Patients: AI-Assisted Clinical Diagnostics Facilitation via the Inverse Problem Algorithm.
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        Value: 10.3390/diagnostics14192126
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              Text: Oct2024
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