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David Myung

David Myung

Stanford University · Rheumatology

Active 2005–2026

h-index37
Citations5.8k
Papers239148 last 5y
Funding$3.6M1 active

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

David Myung is an Assistant Professor of Ophthalmology at the Stanford University Medical Center and is affiliated with the Center for Artificial Intelligence in Medicine & Imaging (AIMI) at Stanford University. His work focuses on the application of artificial intelligence and imaging technologies in the field of medicine, particularly ophthalmology. As a faculty member at Stanford, he contributes to advancing research in medical AI, leveraging innovative computational methods to improve diagnostic and treatment processes in healthcare.

Research topics

  • Computer Science
  • Artificial Intelligence
  • Medicine
  • Machine Learning
  • Political Science
  • Ophthalmology
  • Mathematics
  • Polymer chemistry
  • Embedded system
  • Engineering ethics

Selected publications

  • Multifunctional materials for implantable and wearable photonic healthcare devices

    Nature Reviews Materials · 2020 · 653 citations

  • Wireless smart contact lens for diabetic diagnosis and therapy

    Science Advances · 2020 · 466 citations

    A smart contact lens can be used as an excellent interface between the human body and an electronic device for wearable healthcare applications. Despite wide investigations of smart contact lenses for diagnostic applications, there has been no report on electrically controlled drug delivery in combination with real-time biometric analysis. Here, we developed smart contact lenses for both continuous glucose monitoring and treatment of diabetic retinopathy. The smart contact lens device, built on…

  • Foundational Considerations for Artificial Intelligence Using Ophthalmic Images

    Ophthalmology · 2021 · 90 citations

  • Artificial Intelligence for Retinopathy of Prematurity

    Ophthalmology · 2022 · 53 citations

    PURPOSE: To validate a vascular severity score as an appropriate output for artificial intelligence (AI) Software as a Medical Device (SaMD) for retinopathy of prematurity (ROP) through comparison with ordinal disease severity labels for stage and plus disease assigned by the International Classification of Retinopathy of Prematurity, Third Edition (ICROP3), committee. DESIGN: Validation study of an AI-based ROP vascular severity score. PARTICIPANTS: A total of 34 ROP experts from the ICROP3 com…

  • Injectable Cucurbit[8]uril-Based Supramolecular Gelatin Hydrogels for Cell Encapsulation

    ACS Macro Letters · 2020 · 44 citations

    Senior authorCorresponding

    Recent efforts to develop hydrogel biomaterials have focused on better recapitulating the dynamic properties of the native extracellular matrix. In hydrogel biomaterials, binding thermodynamics and cross-link kinetics directly affect numerous bulk dynamic properties such as strength, stress relaxation, and material clearance. However, despite the broad range of bulk dynamic properties observed in biological tissues, present strategies to incorporate dynamic linkages in cell-encapsulating hydroge…

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