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Tham YC 36
Showing records 1 to 25 | Display all abstracts from Tham YC128293 Grip Strength and Age-Related Ocular Diseases: Insights from Observational, Mendelian Randomization, and Mediation Analyses
Chen C
Ophthalmology science 2025; 5: 100831
127928 The acceptance of ophthalmic artificial intelligence for eye diseases: a literature review and qualitative analysis
Ran AR
Eye 2025; 39: 2353-2362
128778 Effective refractive error coverage in adults: a systematic review and meta-analysis of updated estimates from population-based surveys in 76 countries modelling the path towards the 2030 global target
Bourne RRA
The Lancet. Global health 2025; 13: e1396-e1405
127928 The acceptance of ophthalmic artificial intelligence for eye diseases: a literature review and qualitative analysis
Lui CH
Eye 2025; 39: 2353-2362
128778 Effective refractive error coverage in adults: a systematic review and meta-analysis of updated estimates from population-based surveys in 76 countries modelling the path towards the 2030 global target
Cicinelli MV
The Lancet. Global health 2025; 13: e1396-e1405
128293 Grip Strength and Age-Related Ocular Diseases: Insights from Observational, Mendelian Randomization, and Mediation Analyses
Guo D
Ophthalmology science 2025; 5: 100831
128778 Effective refractive error coverage in adults: a systematic review and meta-analysis of updated estimates from population-based surveys in 76 countries modelling the path towards the 2030 global target
Selby DA
The Lancet. Global health 2025; 13: e1396-e1405
128293 Grip Strength and Age-Related Ocular Diseases: Insights from Observational, Mendelian Randomization, and Mediation Analyses
Meng J
Ophthalmology science 2025; 5: 100831
127928 The acceptance of ophthalmic artificial intelligence for eye diseases: a literature review and qualitative analysis
Tham YC
Eye 2025; 39: 2353-2362
128293 Grip Strength and Age-Related Ocular Diseases: Insights from Observational, Mendelian Randomization, and Mediation Analyses
Qi J
Ophthalmology science 2025; 5: 100831
127928 The acceptance of ophthalmic artificial intelligence for eye diseases: a literature review and qualitative analysis
Cheng CY
Eye 2025; 39: 2353-2362
128778 Effective refractive error coverage in adults: a systematic review and meta-analysis of updated estimates from population-based surveys in 76 countries modelling the path towards the 2030 global target
Sedighi T
The Lancet. Global health 2025; 13: e1396-e1405
127928 The acceptance of ophthalmic artificial intelligence for eye diseases: a literature review and qualitative analysis
Lam CY
Eye 2025; 39: 2353-2362
128778 Effective refractive error coverage in adults: a systematic review and meta-analysis of updated estimates from population-based surveys in 76 countries modelling the path towards the 2030 global target
Tapply IH
The Lancet. Global health 2025; 13: e1396-e1405
128293 Grip Strength and Age-Related Ocular Diseases: Insights from Observational, Mendelian Randomization, and Mediation Analyses
Zhang K
Ophthalmology science 2025; 5: 100831
128778 Effective refractive error coverage in adults: a systematic review and meta-analysis of updated estimates from population-based surveys in 76 countries modelling the path towards the 2030 global target
McCormick I
The Lancet. Global health 2025; 13: e1396-e1405
128293 Grip Strength and Age-Related Ocular Diseases: Insights from Observational, Mendelian Randomization, and Mediation Analyses
He W
Ophthalmology science 2025; 5: 100831
127928 The acceptance of ophthalmic artificial intelligence for eye diseases: a literature review and qualitative analysis
Cheung WL
Eye 2025; 39: 2353-2362
128293 Grip Strength and Age-Related Ocular Diseases: Insights from Observational, Mendelian Randomization, and Mediation Analyses
Tham YC
Ophthalmology science 2025; 5: 100831
127928 The acceptance of ophthalmic artificial intelligence for eye diseases: a literature review and qualitative analysis
Chan ST
Eye 2025; 39: 2353-2362
128778 Effective refractive error coverage in adults: a systematic review and meta-analysis of updated estimates from population-based surveys in 76 countries modelling the path towards the 2030 global target
Jonas JB
The Lancet. Global health 2025; 13: e1396-e1405
127928 The acceptance of ophthalmic artificial intelligence for eye diseases: a literature review and qualitative analysis
Ma HN
Eye 2025; 39: 2353-2362
128778 Effective refractive error coverage in adults: a systematic review and meta-analysis of updated estimates from population-based surveys in 76 countries modelling the path towards the 2030 global target
Abdianwall MH
The Lancet. Global health 2025; 13: e1396-e1405
128293 Grip Strength and Age-Related Ocular Diseases: Insights from Observational, Mendelian Randomization, and Mediation Analyses
Zhu X
Ophthalmology science 2025; 5: 100831
127928 The acceptance of ophthalmic artificial intelligence for eye diseases: a literature review and qualitative analysis
Chow RWLC
Eye 2025; 39: 2353-2362
