Myung, David
Stanford University
5 papers on CoChatORCID 0000-0002-7980-3070
Most cited papers
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Wireless smart contact lens for diabetic diagnosis and therapy
Keum, D. H., Kim, S.-K., Koo, J., Lee, G.-H., Jeon, C., Mok, J. W., Mun, B. H., Lee, K. J., Kamrani, E., Joo, C.-K., et al. (2020) · Science Advances
Advanced Sensor and Energy Harvesting MaterialsElectrochemical sensors and biosensors
Cited by 483
- Verified
Foundational Considerations for Artificial Intelligence Using Ophthalmic Images
Abràmoff, M. D., Cunningham, B., Patel, B., Eydelman, M. B., Leng, T., Sakamoto, T., Blodi, B., Grenon, S. M., Wolf, R. M., Manrai, A. K., et al. (2022) · Ophthalmology
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 96
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Artificial Intelligence-Human Hybrid Workflow Enhances Teleophthalmology for the Detection of Diabetic Retinopathy
Dow, E. R., Khan, N. C., Chen, K. M., Mishra, K., Perera, C., Narala, R., Basina, M., Dang, J., Kim, M., Levine, M., et al. (2023) · Ophthalmology Science
Retinal Imaging and AnalysisRetinal Diseases and Treatments
Cited by 40
- Verified
Artificial Intelligence Improves Patient Follow-Up in a Diabetic Retinopathy Screening Program
Dow, E. R., Chen, K. M., Zhao, C., Knapp, A., Phadke, A., Weng, K., Do, D. V., Mahajan, V. B., Mruthyunjaya, P., Leng, T., et al. (2023) · Clinical Ophthalmology
Retinal Imaging and AnalysisOphthalmology and Visual Health Research
Cited by 29
- Verified
Autonomous Artificial Intelligence in Diabetic Retinopathy Testing—Lessons Learned on Successful Health System Adoption
Teng, C. W., Patel, S. D., Barkmeier, A. J., Liu, T. Y. A., Myung, D., Henderer, J., Liu, J., Hansen, E., & Al-Aswad, L. A. (2026) · Ophthalmology Science
Retinal Imaging and AnalysisArtificial Intelligence in Healthcare and Education
Cited by 23
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