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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Teledermatology (69) Chronic Foot Ulcer and Wounds (20) Pressure Ulcers and Decubitus Wounds (29) mHealth for Telemedicine and Homecare (531) Telehealth and Telemonitoring (2088) Digital Health, Telehealth and e-Innovation in Clinical Settings (556) Imaging Informatics (302) Digital Photography and Imaging in Dermatology (43)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26149, first published .
Wound Image Quality From a Mobile Health Tool for Home-Based Chronic Wound Management With Real-Time Quality Feedback: Randomized Feasibility Study

Wound Image Quality From a Mobile Health Tool for Home-Based Chronic Wound Management With Real-Time Quality Feedback: Randomized Feasibility Study

Wound Image Quality From a Mobile Health Tool for Home-Based Chronic Wound Management With Real-Time Quality Feedback: Randomized Feasibility Study

Authors of this article:

Jia Zhang1 Author Orcid Image ;   Carina Mihai2 Author Orcid Image ;   Laura Tüshaus1 Author Orcid Image ;   Gaetano Scebba1 Author Orcid Image ;   Oliver Distler2 Author Orcid Image ;   Walter Karlen1 Author Orcid Image
Article Authors Cited by (24) Tweetations (7) Metrics

Journals

  1. 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
  2. Høyland S, Holte K, Islam K, Øygaarden O, Kjerstad E, Høyland S, Wærnes H, Gürgen M, Conde K, Hovland K, Rødseth E, Carayon P, Fallon M, Ivins N, Bradbury S, Husebø S, Harding K, Ternowitz T. A cross‐sector systematic review and synthesis of knowledge on telemedicine interventions in chronic wound management—Implications from a system perspective. International Wound Journal 2023;20(5):1712 View
  3. Lathan R, Sidapra M, Yiasemidou M, Long J, Totty J, Smith G, Chetter I. Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis. npj Digital Medicine 2022;5(1) View
  4. Scebba G, Zhang J, Catanzaro S, Mihai C, Distler O, Berli M, Karlen W. Detect-and-segment: A deep learning approach to automate wound image segmentation. Informatics in Medicine Unlocked 2022;29:100884 View
  5. Su Z, Li C, Fu H, Wang L, Wu M, Feng X. Development and prospect of telemedicine. Intelligent Medicine 2024;4(1):1 View
  6. Wang M, Long F, Liu D, Zhuo Y, Tian L, Liang H. Application of WeChat-Utilized Mobile Health in Transitional Care Among Patients Undergoing Hepatectomy: A Pilot Study. Clinical Nursing Research 2023;32(2):298 View
  7. Marbouh D, Swarnakar V, Simsekler M, Antony J, Lizarelli F, Jayaraman R, Garza-Reyes J, Shokri A, Cudney E, Ellahham S. Healthcare 4.0 digital technologies impact on quality of care: a systematic literature review. Total Quality Management & Business Excellence 2023;34(15-16):2157 View
  8. Giansanti D. Advancing Dermatological Care: A Comprehensive Narrative Review of Tele-Dermatology and mHealth for Bridging Gaps and Expanding Opportunities beyond the COVID-19 Pandemic. Healthcare 2023;11(13):1911 View
  9. Tabja Bortesi J, Ranisau J, Di S, McGillion M, Rosella L, Johnson A, Devereaux P, Petch J. Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review. Journal of Medical Internet Research 2024;26:e52880 View
  10. Kivity S, Rajuan E, Arbeli S, Alcalay T, Shiri L, Orvieto N, Alon Y, Saban M. Optimising wound monitoring: Can digital tools improve healing outcomes and clinic efficiency. Journal of Clinical Nursing 2024;33(10):4014 View
  11. Dege T, Glatzel B, Borst V, Grän F, Goller S, Glatzel C, Goebeler M, Schmieder A. Patient-Centered Chronic Wound Care Mobile Apps: Systematic Identification, Analysis, and Assessment. JMIR mHealth and uHealth 2024;12:e51592 View
  12. El Aoufy K, Melis M, Magi C, Bellando-Randone S, Tamburini M, Bandini G, Moggi-Pignone A, Matucci-Cerinic M, Bambi S, Rasero L. Evidence for telemedicine heterogeneity in rheumatic and musculoskeletal diseases care: a scoping review. Clinical Rheumatology 2024;43(9):2721 View
  13. Høyland S, Holte K, Øygarden O, Islam K, Kjerstad E, Gjerstad-Sørensen R, Høyland S, Wærnes H, Carayon P, Fallon M, Bradbury S, Gürgen M, Husebø S, Rødseth E. A Combined Telemedicine and Ambulatory Wound Care Team Intervention for Improving Cross-Sector Outpatient Chronic Wound Management: Protocol for the Mixed Methods TELE-AMBUS Research Project. JMIR Research Protocols 2024;13:e55502 View
  14. Gençoğlu Ş. Analysis of skin health management through telemedicine and mobile health in dermatology in the post-COVID era. The European Research Journal 2025;11(1):113 View
  15. Davison A, Krishan A, New R, Murray A, Dinsdale G, Manning J, Hall F, Pauling J, Vail A, Kearney K, Patrick H, Hughes M, Dixon W, Dickinson M, Taylor C, Herrick A. Development of a measuring app for systemic sclerosis-related digital ulceration (SALVE: Scleroderma App for Lesion VErification). Rheumatology 2024;63(12):3297 View
  16. Zhao C, Guo Y, Li L, Yang M. Non‐invasive techniques for wound assessment: A comprehensive review. International Wound Journal 2024;21(11) View
  17. Pong C, Tseng R, Tham Y, Lum E. Current Implementation of Digital Health in Chronic Disease Management: Scoping Review. Journal of Medical Internet Research 2024;26:e53576 View
  18. Dabas M, Kapp S, Gefen A. Utilizing Image Processing Techniques for Wound Management and Evaluation in Clinical Practice: Establishing the Feasibility of Implementing Artificial Intelligence in Routine Wound Care. Advances in Skin & Wound Care 2025;38(1):31 View
  19. Chen L, Zhuo X, Cai H, Zeng P, Chen H, Chen G. A digitally enabled home-based wound care program using the PEDALs model: a mixed-methods study protocol. Frontiers in Public Health 2025;13 View
  20. Zhang X, Guo Z, Duan Y, Sun C, Luo J. Effectiveness of Telemedicine on Wound-Related and Patient-Reported Outcomes in Patients With Chronic Wounds: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2025;13:e58553 View
  21. Li K, Lee Y, Lin Y. Automated Image-Based Wound Area Assessment in Outpatient Clinics Using Computer-Aided Methods: A Development and Validation Study. Medicina 2025;61(6):1099 View
  22. Liu Y, Wang Y, Gao S, Wu H, Zhang C, Yao J, Cai P. Evaluation of risk factors for poor wound healing after cesarean delivery in patients with gestational diabetes mellitus: a retrospective study. BMC Surgery 2025;25(1) View

Books/Policy Documents

  1. Indrawan A, Bakar A, Tristiana R. Proceedings of the 1st Lawang Sewu International Symposium 2022 on Health Sciences (LSISHS 2022). View
  2. Malekzadeh S, Ayatollahi H, Toni E. Digital Tools and Data for Innovative Healthcare. View