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. |
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| 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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| ISSN: | 20754418 |
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| DOI: | 10.3390/diagnostics14192126 |
