This paper is in the following e-collection/theme issue:

mHealth in a Clinical Setting (579) New Methods (902) Ophthalmology (37) Imaging Informatics (182)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17480, first published .
A Novel Device for Smartphone-Based Fundus Imaging and Documentation in Clinical Practice: Comparative Image Analysis Study

A Novel Device for Smartphone-Based Fundus Imaging and Documentation in Clinical Practice: Comparative Image Analysis Study

A Novel Device for Smartphone-Based Fundus Imaging and Documentation in Clinical Practice: Comparative Image Analysis Study

Authors of this article:

Maximilian W M Wintergerst1 Author Orcid Image ;   Linus G Jansen1 Author Orcid Image ;   Frank G Holz1 Author Orcid Image ;   Robert P Finger1 Author Orcid Image
Article Authors Cited by (14) Tweetations (1) Metrics

Journals

  1. Jansen L, Shah P, Wabbels B, Holz F, Finger R, Wintergerst M. Learning curve evaluation upskilling retinal imaging using smartphones. Scientific Reports 2021;11(1) View
  2. Pieczynski J, Kuklo P, Grzybowski A. The Role of Telemedicine, In-Home Testing and Artificial Intelligence to Alleviate an Increasingly Burdened Healthcare System: Diabetic Retinopathy. Ophthalmology and Therapy 2021;10(3):445 View
  3. Pujari A, Saluja G, Agarwal D, Sinha A, P R A, Kumar A, Sharma N. Clinical Role of Smartphone Fundus Imaging in Diabetic Retinopathy and Other Neuro-retinal Diseases. Current Eye Research 2021;46(11):1605 View
  4. Gagan J, Kumar J, Seelamantula C, Adiga C. RaPiD: a Raspberry Pi-based optical fundoscope. ISSS Journal of Micro and Smart Systems 2022;11(2):397 View
  5. Lim W, Ho H, Ho H, Chen Y, Lee C, Chen P, Lai F, Jang J, Ko M. Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia. BMC Medical Imaging 2022;22(1) View
  6. Schulte A, Ricci L, Melville J, Brown J. Emerging Trends in Smartphone Photo Documentation of Child Physical Abuse. Pediatric Emergency Care 2022;38(9):464 View
  7. Jansen L, Schultz T, Holz F, Finger R, Wintergerst M. Smartphone-basierte Fundusfotografie: Anwendungen und Adapter. Der Ophthalmologe 2022;119(2):112 View
  8. Chen C, Huang C, Cheng H, Lin H, Chu Y, Chang C, Lai Y, Wang M, Cheng Y. Smartphone-Enabled versus Conventional Otoscopy in Detecting Middle Ear Disease: A Meta-Analysis. Diagnostics 2022;12(4):972 View
  9. Macher J, Porter R, Levin A. Ophthalmic imaging in abusive head trauma. Child Abuse & Neglect 2023;139:106106 View
  10. Galić I, Habijan M, Leventić H, Romić K. Machine Learning Empowering Personalized Medicine: A Comprehensive Review of Medical Image Analysis Methods. Electronics 2023;12(21):4411 View
  11. Calabrèse A, Fournet V, Dours S, Matonti F, Castet E, Kornprobst P. A New Vessel-Based Method to Estimate Automatically the Position of the Nonfunctional Fovea on Altered Retinography From Maculopathies. Translational Vision Science & Technology 2023;12(7):9 View
  12. Mitchaï P, Mapinduzi J, Verbrugghe J, Michiels S, Janssens L, Kossi O, Bonnechère B, Timmermans A. Mobile technologies for rehabilitation in non-specific spinal disorders: a systematic review of the efficacy and potential for implementation in low- and middle-income countries. European Spine Journal 2023;32(12):4077 View
  13. Zhang J, Luo X, Li D, Peng Y, Gao G, Lei L, Gao M, Lu L, Xu Y, Yu T, Lin S, Ma Y, Yao C, Zou H. Evaluating imaging repeatability of fully self-service fundus photography within a community-based eye disease screening setting. BioMedical Engineering OnLine 2024;23(1) View

Books/Policy Documents

  1. Khan N, Myung D. Digital Eye Care and Teleophthalmology. View