Buist Martin L

Sharma Swati, Braeu Fabian A, Chuangsuwanich Thanadet, Tun Tin A, Hoang Quan V, Chong Rachel et al.

This study identified distinct 3D optic nerve head structural patterns in healthy, myopic, and glaucomatous eyes, suggesting these unique signatures can improve glaucoma diagnosis, especially in myopic patients.

Chiang Charis Y N, Braeu Fabian A, Chuangsuwanich Thanadet, Tan Royston K Y, Chua Jacqueline, Schmetterer Leopold et al.

AI analyzed wide-field OCT scans to diagnose glaucoma, finding that combining optic nerve head and macula data significantly improved diagnostic accuracy over either alone, suggesting better clinical detection.

Panda Satish K, Cheong Haris, Tun Tin A, Chuangsuwanich Thanadet, Kadziauskiene Aiste, Senthil Vijayalakshmi et al.

This study found that the 3D configuration of central retinal vessels, analyzed by AI, is a superior glaucoma diagnostic marker compared to standard RNFL thickness, potentially improving early detection.

Panda Satish K, Tan Royston K Y, Tun Tin A, Buist Martin L, Nongpiur Monisha, Baskaran Mani et al.

This study found irises in angle-closure glaucoma are stiffer and less permeable than healthy irises, suggesting biomechanical differences contribute to the disease and could inform future management.

Panda Satish K, Cheong Haris, Tun Tin A, Devella Sripad K, Senthil Vijayalakshmi, Krishnadas Ramaswami et al.

AI deep learning accurately identified novel structural optic nerve head biomarkers from OCTs, revealing how ONH morphology changes in glaucoma and offering a robust diagnostic tool.