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Jayashree Kalpathy-Cramer, PhD, Named Chief of Artificial Medical Intelligence in Ophthalmology

Jayashree Kalpathy-Cramer, PhD, has been named chief of the new Division of Artificial Medical Intelligence in Ophthalmology at the University of Colorado (CU) School of Medicine. In her new role, Kalpathy-Cramer will translate novel artificial intelligence (AI) methods into effective patient care practices at the Sue Anschutz-Rodgers Eye Center.


Author Rachel Wittel | Publish Date March 17, 2022
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Denver 7

Study shows AI deep learning models can detect race in medical imaging

news outletDenver 7
Publish DateMay 24, 2022

Dr. Jayashree Kalpathy-Cramer discusses a recent study found that AI deep learning models can be trained to identify race in these same medical images. Something radiologists could only determine with 50 percent accuracy. 

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AAO Newsroom

Screening for Keratoconus in Children with Down Syndrome

news outletAAO Newsroom
Publish DateMay 10, 2022

Dr. Casey Smith discusses guidelines on using corneal tomography to screen for keratoconus in children with Down syndrome. Screening is recommended not only because keratoconus is prevalent in this population, but because those with Down syndrome may be less likely to be myopic and to have lower rates of astigmatism at the time of keratoconus than those without Down syndrome.

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Neurodiem

Higher-order visual dysfunction in dementia: can we do better at recognition and assessment?

news outletNeurodiem
Publish DateMay 03, 2022

Half of the human brain is devoted to vision, either exclusively or through important connections within functional networks essential for memory, cognition, and behavior. Not surprisingly, most people with a neurodegenerative disease that leads to dementia will develop higher-order visual dysfunction at some point in the course of their illness, including the pre-dementia or mild cognitive impairment stage.

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Glaucoma Today

Home Tonometry for Detecting Treatment Response in Glaucoma

news outletGlaucoma Today
Publish DateApril 30, 2022

Given that much clinical decision-making in glaucoma is based on IOP, it seems surprising that, on average, providers rely on a handful of in-office IOP measurements obtained over the course of a year to determine IOP control. Monica K. Ertel, MD, and Leonard K. Seibold, MD, discuss the use of the iCare Home to improve clinical decision-making.

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