Publications by authors named "Michael D Abramoff"

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Evaluating commercial multimodal AI for diabetic eye screening and implications for an alternative regulatory pathway.
Matthew S Hunt, Tinglong Dai, Michael D Abràmoff

NPJ Digit Med· December 2025

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Cost-effectiveness of AI for pediatric diabetic eye exams from a health system perspective.
Mahnoor Ahmed, Tinglong Dai, Roomasa Channa, Michael D Abramoff, Harold P Lehmann

NPJ Digit Med· January 2025

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Sterile Caliper Anterior Chamber Decompression Mitigates Intraocular Pressure Spikes in Intravitreal Injections.
Mahsaw Mansoor, Noor-Us-Sabah Ahmad, S Bilal Ahmed, Samuel Tadros, James Folk, Michael D Abramoff

Transl Vis Sci Technol· December 2024

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Mitigation of AI adoption bias through an improved autonomous AI system for diabetic retinal disease.
Michael D Abràmoff, Philip T Lavin, Julie R Jakubowski, Barbara A Blodi, Mia Keeys

NPJ Digit Med· December 2024

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What Do We Do with Physicians When Autonomous AI-Enabled Workflow is Better for Patient Outcomes?
Michael D Abramoff, Danton Char

Am J Bioeth· September 2024

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Author Correction: Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations.
Jane J Huang, Roomasa Channa, Risa M Wolf, Yiwen Dong, Mavis Liang, Michael D Abramoff

NPJ Digit Med· August 2024

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Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations.
Jane J Huang, Roomasa Channa, Risa M Wolf, Yiwen Dong, Mavis Liang, Michael D Abramoff

NPJ Digit Med· July 2024

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Risk Factors for Nondiagnostic Imaging in a Real-World Deployment of Artificial Intelligence Diabetic Retinal Examinations in an Integrated Healthcare System: Maximizing Workflow Efficiency Through Predictive Dilation.
Benjamin L Shou, Kesavan Venkatesh, Chang Chen, Ronel Ghidey, Jae Hyoung Lee, Michael D Abramoff

J Diabetes Sci Technol· March 2024

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Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial.
Risa M Wolf, Roomasa Channa, T Y Alvin Liu, Anum Zehra, Lee Bromberger, Michael D Abramoff

Nat Commun· January 2024

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Generative Artificial Intelligence Through ChatGPT and Other Large Language Models in Ophthalmology: Clinical Applications and Challenges.
Ting Fang Tan, Arun James Thirunavukarasu, J Peter Campbell, Pearse A Keane, Louis R Pasquale, Michael D Abramoff

Ophthalmol Sci· December 2023

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Autonomous artificial intelligence increases real-world specialist clinic productivity in a cluster-randomized trial.
Michael D Abramoff, Noelle Whitestone, Jennifer L Patnaik, Emily Rich, Munir Ahmed

NPJ Digit Med· October 2023

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Autonomous AI systems in the face of liability, regulations and costs.
Agustina D Saenz, Zach Harned, Oishi Banerjee, Michael D Abràmoff, Pranav Rajpurkar

NPJ Digit Med· October 2023

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A New Approach to Staging Diabetic Eye Disease: Staging of Diabetic Retinal Neurodegeneration and Diabetic Macular Edema.
Roomasa Channa, Risa M Wolf, Rafael Simo, Mitchell Brigell, Patrice Fort, Michael D Abramoff

Ophthalmol Sci· October 2023

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Considerations for addressing bias in artificial intelligence for health equity.
Michael D Abràmoff, Michelle E Tarver, Nilsa Loyo-Berrios, Sylvia Trujillo, Danton Char

NPJ Digit Med· September 2023

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Clinical Implementation of Autonomous Artificial Intelligence Systems for Diabetic Eye Exams: Considerations for Success.
Risa M Wolf, Roomasa Channa, Harold P Lehmann, Michael D Abramoff, T Y Alvin Liu

Clin Diabetes· September 2023

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Effectiveness of artificial intelligence screening in preventing vision loss from diabetes: a policy model.
Roomasa Channa, Risa M Wolf, Michael D Abràmoff, Harold P Lehmann

NPJ Digit Med· March 2023

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Developing current procedural terminology codes that describe the work performed by machines.
Richard A Frank, Robert Jarrin, Jordan Pritzker, Michael D Abramoff, Michael X Repka

NPJ Digit Med· December 2022

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Biological Correlations and Confounders for Quantification of Retinal Ganglion Cells by Optical Coherence Tomography Based on Studies of Outbred Mice.
Adam Hedberg-Buenz, Kacie J Meyer, Carly J van der Heide, Wenxiang Deng, Kyungmoo Lee, Michael D Abramoff

Transl Vis Sci Technol· September 2022

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A Delphi consensus statement for digital surgery.
Kyle Lam, Michael D Abràmoff, José M Balibrea, Steven M Bishop, Richard R Brady

NPJ Digit Med· July 2022

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A reimbursement framework for artificial intelligence in healthcare.
Michael D Abràmoff, Cybil Roehrenbeck, Sylvia Trujillo, Juli Goldstein, Anitra S Graves

NPJ Digit Med· June 2022

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Potential reduction in healthcare carbon footprint by autonomous artificial intelligence.
Risa M Wolf, Michael D Abramoff, Roomasa Channa, Chris Tava, Warren Clarida

NPJ Digit Med· May 2022

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Foundational Considerations for Artificial Intelligence Using Ophthalmic Images.
Michael D Abràmoff, Brad Cunningham, Bakul Patel, Malvina B Eydelman, Theodore Leng

Ophthalmology· February 2022

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Detecting retinal neurodegeneration in people with diabetes: Findings from the UK Biobank.
Roomasa Channa, Kyungmoo Lee, Kristen A Staggers, Nitish Mehta, Sidra Zafar, Michael D Abramoff

PLoS One· November 2021

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Commentary: Diagnosing Diabetic Retinopathy With Artificial Intelligence: What Information Should Be Included to Ensure Ethical Informed Consent?
Michael D Abramoff, Zachary Mortensen, Chris Tava

Front Med (Lausanne)· November 2021

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A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI.
Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose, Nigam H Shah, Marzyeh Ghassemi

Nat Med· October 2021

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