Artificial Intelligence & Glaucoma
Artificial Intelligence for Detection of Non-Glaucomatous Optic Neuropathies
Dr. Dan Milea focuses on the question of whether artificial intelligence (AI) can detect non-glaucomatous optic neuropathies causing papilledema that are often in need of early detection and treatment. Based on his worldwide multicenter study, AI can detect papilledema from ocular fundus photographs. Moreover, the performance of AI was as good as humans, and AI can discriminate the papilledema severity. Despite the promising results, he points out that AI has not yet explored the prediction of clinical outcomes and its performance modalities other than fundus photographs.
Using AI to find early cases of glaucoma
Dr. Kenji Kashiwagi presents potential clinical application of AI in glaucoma. AI has a good diagnostic ability for detecting glaucoma based on fundus photography and for detecting VF progression. He also introduces Japan’s nationwide activity to apply AI in ophthalmology. Future applications of AI in glaucoma can be directed to glaucoma care support in general practice and education/research as well as screening.