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

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Subvoxel accurate graph search using non-Euclidean graph space. by Michael D Abràmoff, Xiaodong Wu, Kyungmoo Lee, Li Tang

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

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Automated method for identification and artery-venous classification of vessel trees in retinal vessel networks. by Vinayak S Joshi, Joseph M Reinhardt, Mona K Garvin, Michael D Abramoff

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Urinary β2-microglobulin and disease activity in patients with tubulointerstitial nephritis and uveitis syndrome by Lorraine M. Provencher, Aaron M. Fairbanks, Michael D. Abramoff, Nasreen A. Syed

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

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

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Results of Automated Retinal Image Analysis for Detection of Diabetic Retinopathy from the Nakuru Study, Kenya. by Morten B Hansen, Michael D Abràmoff, James C Folk, Wanjiku Mathenge, Andrew Bastawrous, Tunde Peto

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Retinal vessel width measurement at branchings using an improved electric field theory-based graph approach. by Xiayu Xu, Joseph M Reinhardt, Qiao Hu, Benjamin Bakall, Paul S Tlucek, Geir Bertelsen, Michael D Abràmoff

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A reimbursement framework for artificial intelligence in healthcare by Michael D. Abràmoff, Cybil Roehrenbeck, Sylvia Trujillo, Juli Goldstein, Anitra S. Graves, Michael X. Repka, Ezequiel “Zeke” Silva III

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Tools for Responding to Patient-Initiated Verbal Sexual Harassment: A Workshop for Trainees and Faculty by Lauren E. Hock, Patrick B. Barlow, Brittni A. Scruggs, Thomas A. Oetting, Denise A. Martinez, Michael D. Abràmoff, Erin M. Shriver

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Developing current procedural terminology codes that describe the work performed by machines by Richard A. Frank, Robert Jarrin, Jordan Pritzker, Michael D. Abramoff, Michael X. Repka, Pat D. Baird, S. Marlene Grenon, Megan Ruth Mahoney, John E. Mattison, Ezequiel Silva

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Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial by Risa M. Wolf, Roomasa Channa, T. Y. Alvin Liu, Anum Zehra, Lee Bromberger, Dhruva Patel, Ajaykarthik Ananthakrishnan, Elizabeth A. Brown, Laura Prichett, Harold P. Lehmann, Michael D. Abramoff

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A New Approach to Staging Diabetic Eye Disease by Roomasa Channa, MD, Risa M. Wolf, MD, Rafael Simo, MD, PhD, Mitchell Brigell, PhD, Patrice Fort, PhD, Christine Curcio, PhD, Stephanie Lynch, MD, Frank Verbraak, MD, PhD, Michael D. Abramoff, MD, PhD, Michael D. Abramoff, Roomasa Channa, Risa M. Wolf, Rafael Simo, Mitch Brigell, Patrice Fort, Christine Curcio, Stephanie Lynch, Frank Verbraak, Thomas W. Gardner

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Autonomous artificial intelligence increases real-world specialist clinic productivity in a cluster-randomized trial by Michael D. Abramoff, Noelle Whitestone, Jennifer L. Patnaik, Emily Rich, Munir Ahmed, Lutful Husain, Mohammad Yeadul Hassan, Md. Sajidul Huq Tanjil, Dena Weitzman, Tinglong Dai, Brandie D. Wagner, David H. Cherwek, Nathan Congdon, Khairul Islam

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Considerations for addressing bias in artificial intelligence for health equity by Michael D. Abràmoff, Michelle E. Tarver, Nilsa Loyo-Berrios, Sylvia Trujillo, Danton Char, Ziad Obermeyer, Malvina B. Eydelman, Foundational Principles of Ophthalmic Imaging and Algorithmic Interpretation Working Group of the Collaborative Community for Ophthalmic Imaging Foundation, Washington, D.C., William H. Maisel

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Generative Artificial Intelligence Through ChatGPT and Other Large Language Models in Ophthalmology by Ting Fang Tan, MBBS, Arun James Thirunavukarasu, BA MB, BChir (Cantab), J. Peter Campbell, MD, MPH, Pearse A. Keane, MD, FRCOphth, Louis R. Pasquale, MD, FARVO, Michael D. Abramoff, MD, PhD, Jayashree Kalpathy-Cramer, PhD, Flora Lum, MD, Judy E. Kim, MD, FARVO, Sally L. Baxter, MD, MSc, Daniel Shu Wei Ting, MD, PhD

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A Delphi consensus statement for digital surgery by Kyle Lam, Michael D. Abràmoff, José M. Balibrea, Steven M. Bishop, Richard R. Brady, Rachael A. Callcut, Manish Chand, Justin W. Collins, Markus K. Diener, Matthias Eisenmann, Kelly Fermont, Manoel Galvao Neto, Gregory D. Hager, Robert J. Hinchliffe, Alan Horgan, Pierre Jannin, Alexander Langerman, Kartik Logishetty, Amit Mahadik, Lena Maier-Hein, Esteban Martín Antona, Pietro Mascagni, Ryan K. Mathew, Beat P. Müller-Stich, Thomas Neumuth, Felix Nickel, Adrian Park, Gianluca Pellino, Frank Rudzicz, Sam Shah, Mark Slack, Myles J. Smith, Naeem Soomro, Stefanie Speidel, Danail Stoyanov, Henry S. Tilney, Martin Wagner, Ara Darzi, James M. Kinross, Sanjay Purkayastha

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