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 YH; Department of Medical Imaging and Radiological Sciences, Central Taiwan University of Science and Technology, Takun, Taichung 406, Taiwan.; Department of Clinical Pharmacy, Taichung Armed Forces General Hospital, Taichung 411, Taiwan., Liang CC; Division of Neurosurgery, Department of Surgery, Taichung Armed-Forces General Hospital, Taichung 411, Taiwan.; Division of Neurosurgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan., Chou YL; Department of Medical Imaging and Radiological Sciences, Central Taiwan University of Science and Technology, Takun, Taichung 406, Taiwan.; Department of Otolaryngology-Head and Neck Surgery, Taichung Armed Forces General Hospital, Taichung 411, Taiwan.; Department of Otolaryngology-Head and Neck Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan., Lin CS; Department of Radiology, BenQ Medical Center, Affiliated BenQ Hospital of the Nanjing Medical University, Nanjing 211166, China., Chen KL; Department of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo 315012, China., Pan LK; Department of Medical Imaging and Radiological Sciences, Central Taiwan University of Science and Technology, Takun, Taichung 406, Taiwan., Cheng KY; Department of Medical Imaging and Radiological Sciences, Central Taiwan University of Science and Technology, Takun, Taichung 406, Taiwan., Ke CH; Department of Medical Imaging and Radiological Sciences, Central Taiwan University of Science and Technology, Takun, Taichung 406, Taiwan.; Department of Optometry, Central Taiwan University of Science and Technology, Takun, Taichung 406, Taiwan. |
| Source: | Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2024 Sep 25; Vol. 14 (19). Date of Electronic Publication: 2024 Sep 25. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101658402 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4418 (Print) Linking ISSN: 20754418 NLM ISO Abbreviation: Diagnostics (Basel) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2075-4418 |
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| DOI: | 10.3390/diagnostics14192126 |
