Eyeworld

AUGUST 2020 | EYEWORLD | 3 by Eric Donnenfeld, MD Chief Medical Editor power calculation formulas. Kerry Solomon, MD, and Warren Hill, MD, who was the first to use AI in IOL calculation with the Hill-RBF formula, look at how AI can improve IOL choice and power calculations. Ranya Habash, MD, and Valerie Trubnik, MD, provide insights into the opportunities for AI in glaucoma. The multifactorial nature of glaucoma and the large datasets make this specialty ideal for improving outcomes with AI. Visual fields, OCT images, and fundus photos can provide huge volumes of information that can be correlated with the use of powerful AI computers. Finally, Allen Ho, MD, Anthony Joseph, MD, Jennifer Lim, MD, and Glenn Stoller, MD, share how AI is changing the world of retina. The most common retinal diseases, including macular degeneration, diabetic macular edema, diabetic retinopathy, and vein occlusion, will all benefit from machine learning to help monitor and treat these disorders. I think AI is the future of our profession and will give ophthalmologists the information and resources that the best subspecialists could never accumulate in an entire career. Data-driv- en decision making offers the promise of better outcomes for our patients. Enjoy reading this issue of EyeWorld to see where our profession is going. A rtificial intelligence (AI) was first named in 1956 but has become more im- portant over the last few years thanks to increased data anal- ysis, advanced algorithms, and improvements in computing power and storage. AI is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. We use AI everyday with our computer programs such as Siri and Alexa. AI offers significant promise to the field of ophthalmology with its ability to analyze enormous datasets using neural networks. This analysis was not possible several years ago, but advanced technology now makes data analysis with AI possible. In fact, the more data you provide for evaluation by AI, the more accurate the results become. In this issue of EyeWorld, we look at how AI is revolutionizing the diagnosis and treat- ment of such diverse fields as cornea, cataract surgery, glaucoma, and retina. Renato Ambrosio Jr., MD, PhD, and David Wallace, MD, explore the role of AI in pre- dicting ectasia using smart software to provide better outcomes and safety with refractive corneal surgery. In addition, the earliest diag- nosis of keratoconus with AI can help predict which patients will benefit from riboflavin UV crosslinking to stop the development of kerato- conus before it can be diagnosed by traditional methods. Cataract surgery is the most common oper- ation performed in the U.S. Patient expectations are extraordinarily high and AI using enor- mous datasets offers the promise of improving surgical outcomes to LASIK-like accuracy. In fact, AI is currently being employed with several Artificial intelligence "AI offers significant promise to the field of ophthalmology with its ability to analyze enormous datasets using neural networks."

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