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Birla S 15

Showing records 1 to 15 | Display all abstracts from Birla S

118156 In vivo identification of angle dysgenesis and its relation to genetic markers associated with glaucoma using artificial intelligence
Gupta V
Indian Journal of Ophthalmology 2024; 72: 339-346

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118282 Machine learning-assisted prediction of trabeculectomy outcomes among patients of juvenile glaucoma by using 5-year follow-up data
Birla S; Varshney T
Indian Journal of Ophthalmology 2024; 72: 987-993

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118156 In vivo identification of angle dysgenesis and its relation to genetic markers associated with glaucoma using artificial intelligence
Birla S
Indian Journal of Ophthalmology 2024; 72: 339-346

---

118282 Machine learning-assisted prediction of trabeculectomy outcomes among patients of juvenile glaucoma by using 5-year follow-up data
Singh A
Indian Journal of Ophthalmology 2024; 72: 987-993

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118156 In vivo identification of angle dysgenesis and its relation to genetic markers associated with glaucoma using artificial intelligence
Varshney T; Somarajan BI
Indian Journal of Ophthalmology 2024; 72: 339-346

---

118282 Machine learning-assisted prediction of trabeculectomy outcomes among patients of juvenile glaucoma by using 5-year follow-up data
Sharma A; Panigrahi A
Indian Journal of Ophthalmology 2024; 72: 987-993

---

118156 In vivo identification of angle dysgenesis and its relation to genetic markers associated with glaucoma using artificial intelligence
Gupta S
Indian Journal of Ophthalmology 2024; 72: 339-346

---

118282 Machine learning-assisted prediction of trabeculectomy outcomes among patients of juvenile glaucoma by using 5-year follow-up data
Panigrahi A
Indian Journal of Ophthalmology 2024; 72: 987-993

---

118156 In vivo identification of angle dysgenesis and its relation to genetic markers associated with glaucoma using artificial intelligence
Gupta M
Indian Journal of Ophthalmology 2024; 72: 339-346

---

118282 Machine learning-assisted prediction of trabeculectomy outcomes among patients of juvenile glaucoma by using 5-year follow-up data
Gupta S
Indian Journal of Ophthalmology 2024; 72: 987-993

---

118156 In vivo identification of angle dysgenesis and its relation to genetic markers associated with glaucoma using artificial intelligence
Panigrahi A
Indian Journal of Ophthalmology 2024; 72: 339-346

---

118282 Machine learning-assisted prediction of trabeculectomy outcomes among patients of juvenile glaucoma by using 5-year follow-up data
Gupta D
Indian Journal of Ophthalmology 2024; 72: 987-993

---

118156 In vivo identification of angle dysgenesis and its relation to genetic markers associated with glaucoma using artificial intelligence
Panigrahi A; Singh A
Indian Journal of Ophthalmology 2024; 72: 339-346

---

118282 Machine learning-assisted prediction of trabeculectomy outcomes among patients of juvenile glaucoma by using 5-year follow-up data
Gupta V
Indian Journal of Ophthalmology 2024; 72: 987-993

---

118156 In vivo identification of angle dysgenesis and its relation to genetic markers associated with glaucoma using artificial intelligence
Gupta D
Indian Journal of Ophthalmology 2024; 72: 339-346

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