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Bohner Austin

2 articles in GJC

2 articles in GJC

1.

Comparison of Deep Learning and Clinician Performance for Detecting Referable Glaucoma from Fundus Photographs in a Safety Net Population.

Nguyen Van, Iyengar Sreenidhi, Rasheed Haroon, Apolo Galo, Li Zhiwei, Kumar Aniket et al.

Ophthalmol SciFeb 20255 citationsCohort Study

A deep learning algorithm for detecting referable glaucoma from fundus photos matched or exceeded clinician performance, suggesting its utility for more consistent and efficient glaucoma screening, especially in resource-limited settings.

2.

Effects on phacoemulsification efficiency and chatter at variable longitudinal ultrasound settings when combined with constant torsional energy.

Bohner Austin, Peterson John S, Wright Alex J, Mamalis Christina, Bernhisel Ashlie, Zaugg Brian et al.

J Cataract Refract SurgMay 20206 citationsBasic Science

This study found 60% longitudinal ultrasound power optimizes phacoemulsification efficiency while minimizing chatter, improving cataract surgery outcomes by balancing effectiveness and safety.

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