Abstract
Retinopathy of prematurity (ROP) is a biphasic vasoproliferative disease that has the potential to cause blindness. This thesis investigates whether placental inflammation and poor weight gain can help predict infants who may develop vision-threatening ROP. Second, it explores the potential of using wide-field digital imaging by non ophthalmologists to identify infants who require treatment and evaluates the evidence for using artificial intelligence for ROP diagnosis. Furthermore, this thesis examines the best approach for ROP screening in low- to middle-income countries where ROP is a significant problem. Overall, this thesis aims to improve ROP screening while reducing the burden on ophthalmologists.
| Original language | English |
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| Qualification | Doctor of Philosophy |
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| Award date | 24 Nov 2023 |
| DOIs | |
| Publication status | Unpublished - 2023 |
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Artificial intelligence for the diagnosis of retinopathy of prematurity: A systematic review of current algorithms
Ramanathan, A., Athikarisamy, S. E. & Lam, G. C., Aug 2023, In: Eye. 37, 12, p. 2518-2526 9 p.Research output: Contribution to journal › Review article › peer-review
32 Link opens in a new tab Citations (Scopus) -
Retinopathy of prematurity and placental histopathology findings: A retrospective cohort study
Athikarisamy, S. E., Lam, G. C., Cooper, M. N. & Strunk, T., 2023, In: Frontiers in Pediatrics. 11, 1099614.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Citations (Scopus) -
Retinopathy of prematurity in India – what can we learn from the polio legacy?
Athikarisamy, S. E., Vinekar, A. & Patole, S., Jul 2023, In: The Lancet Regional Health - Southeast Asia. 14, 100210.Research output: Contribution to journal › Review article › peer-review
Open Access6 Link opens in a new tab Citations (Web of Science)
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