Kyle Alexander Bolo, MD

Assistant Professor of Clinical Ophthalmology

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Overview

Kyle Bolo, MD, is a clinician scientist and glaucoma specialist at the USC Roski Eye Institute, part of Keck Medicine of USC. He diagnoses and treats patients for a variety of eye diseases and has extensive expertise treating glaucoma and performing cataract surgery.

Dr. Bolo conducts research at the interface of population eye health, bioinformatics, and machine learning. His priorities include investigating the impact of glaucoma on different patient populations and health systems, understanding the effects of glaucoma screening, and modernizing the detection and care of those with and at risk for glaucoma using data-driven and machine learning tools. His work advances a shared focus for promoting reproducible data science research.

Dr. Bolo is also helping to educate the next generation of physicians. He is an assistant professor of ophthalmology at the Keck School of Medicine of USC.

Awards

  • Columbia University: Alpha Omega Alpha, 2018
  • Columbia University: Albert B. Knapp Scholarship, 2019
  • American Glaucoma Society: Mentoring for Advancement of Physician-Scientists (MAPS) Award, 2025
     – 2026
  • NIH/SC-CTSI: Mentored Career Development Award in Clinical and Translational Science, 2026
     – 2029

Education and Training

  • Williams College — BA — 2013 — Mathematics
  • Columbia University — MD — 2019
  • University of Southern California — Residency — 2023 — Ophthalmology
  • UC San Diego — Fellowship — 2024 — Glaucoma

Research Funding

  • Evaluating Long-Term Outcomes of Glaucoma Screening in a Safety-Net Population Through a Data-Centric Approach
    NIH/SC-CTSI · UL1TR001855 · Apr 1, 2026 – Mar 31, 2029

Publications

  • Large Language Models Approximate Inter-Expert Agreement in Glaucoma Suspect and Glaucoma Classification from Multimodal Data. Ophthalmol Sci. 2026 Oct; 6(10):101352.. View in PubMed
  • Incidence and Predictors of IOP-Lowering Treatment Following Detection of Referable Glaucoma in a Teleretinal Screening Program. medRxiv. 2026 Jun 04.. View in PubMed
  • Risk-Stratified Monitoring of Open Angle Glaucoma Suspects Based on Diagnostic Conversion Risk. Am J Ophthalmol. 2026 Sep; 289:313-324.. View in PubMed
  • Comparative Performance of Gemini 3 Pro and GPT-5 Family Models on Ophthalmology Board-Style Questions. Ophthalmol Sci. 2026 May; 6(5):101145.. View in PubMed
  • Safety of Pharmacologic Dilation: Incidence and Risk Factors of Acute Angle Closure in a Nationwide Cohort. Am J Ophthalmol. 2026 Mar; 283:138-148.. View in PubMed
  • Comparison of RETFound and a Supervised Convolutional Neural Network for Detection of Referable Glaucoma from Fundus Photographs. Ophthalmol Sci. 2026 Feb; 6(2):101008.. View in PubMed
  • Acute Angle Closure Incidence in a Large Countywide Safety Net Teleretinal Screening Program. JAMA Ophthalmol. 2025 Nov 01; 143(11):883-890.. View in PubMed
  • Comparison of Foundation and Supervised Learning-Based Models for Detection of Referable Glaucoma from Fundus Photographs. medRxiv. 2025 Aug 24.. View in PubMed
  • Applications of deep learning in the analysis of optical coherence tomography images for glaucoma-related diagnostics. Taiwan J Ophthalmol. 2025 Jul-Sep; 15(3):354-363.. View in PubMed
  • A comparative analysis of DeepSeek R1, DeepSeek-R1-Lite, OpenAi o1 Pro, and Grok 3 performance on ophthalmology board-style questions. Sci Rep. 2025 Jul 02; 15(1):23101.. View in PubMed