Dr. Radhika Rampat, MBBS, FRCOphth, at the 44th ESCRS Congress in London, discussing the current applications of artificial intelligence already being used in intraocular lens selection and Keratoconus Screening.
She addressed the complexities involved in standardising anterior segment imaging protocols and explored emerging developments in patient-facing, AI-driven ophthalmological applications.
Video Timelines
0:00 – The significance of conducting rigorous evaluation of artificial intelligence systems.
0:34 – Integration of artificial intelligence technologies into clinical settings.
0:51 – Artificial intelligence-powered intraocular lens calculation tools and automated keratoconus detection utilising the MS-39 device.
1:12 – Artificial intelligence investigations focused on anterior segment ophthalmology.
1:32 – Establishing consistent protocols for slit-lamp image acquisition through Light Field technology.
1:53 – Machine learning systems analyzing slit-lamp imagery to identify pathologies including Fuchs' endothelial dystrophy.
2:13 – The rapid expansion of artificial intelligence implementation and patient-accessible language model applications.
2:37 – Final remarks and conclusions.
0:51 – Artificial intelligence-powered intraocular lens calculation tools and automated keratoconus detection utilising the MS-39 device.
1:12 – Artificial intelligence investigations focused on anterior segment ophthalmology.
1:32 – Establishing consistent protocols for slit-lamp image acquisition through Light Field technology.
1:53 – Machine learning systems analyzing slit-lamp imagery to identify pathologies including Fuchs' endothelial dystrophy.
2:13 – The rapid expansion of artificial intelligence implementation and patient-accessible language model applications.
2:37 – Final remarks and conclusions.
