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HIGHLIGHTS presents updates on 08 ORIA cutting-edge studies your practice from 09 Protect cyberattacks! the fight against 15 Inastigmatism and climate change, experts take their stand
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Can You Handle This? On Day 2 of RANZCO 2022, AI and Beyonce (references) take the spotlight by Joanna Lee
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n case you haven’t heard yet, in ophthalmology, artificial intelligence (AI) is now able to increasingly function unsupervised — as evidenced by the latest studies applying AI to the investigation of corneal topography and imaging, description of the ocular wavefront, ocular biometry, as well as improving the accuracy of the power calculation of intraocular lenses (IOLs). Case in point: During Day 2 of the 52nd Annual Scientific Congress of The Royal Australian and New Zealand College of Ophthalmologists (RANZCO Brisbane 2022), Dr. Damien Gatinel, the head of the Anterior and Refractive Surgery Department of the Rothschild Foundation, Paris, demonstrated how AI is trained through supervised and unsupervised learning. In the former, AI is given input by expert ophthalmologists to label individual clinical features and the severity in the images in order to label the AI solutions.
The sophistication of AI in eye care Dr. Gatinel’s study1 has shown how unsupervised AI learning can extract and sort usable data from large unlabeled data sets with minimal human intervention. It was able to perform dimensional reduction from 10,000 values to 3 values and separate the data into dense groups, hence tracing the topography of keratoconus disease. In another study on gas permeable contact lens fitting for keratoconus, they trained CNN (convolutional neural network) on raw matrices of the actual curvature map to predict Cont. on Page 3 >>