Citing Article List

The joumal uses Crossref ited-by service counts times cited of published aricles. Citedby allows Crossref members to find out who is citing their conten. This is the Citing Article List of "“Unveiling the role of artificial intelligence for wound assessment and wound healing prediction”.

No.

Publication Date

Citing Article

1

2024

Rose Raizmam, José Luis Ramírez-GarciaLuna, Tanmoy Newaz, Sheila C Wang, Gregory K Berry, Ling Yaun Kong, Heba Tallah Mohammed, Robert Douglas John Fraser. 2024;   https://doi.org/10.2196/preprints.69470

2

2025

Antoinette T. Nguyen, Rena A. Li, Robert D. Galiano. Assessing the predictive accuracy of ChatGPT-based image analysis in forecasting long-term scar characteristics from 3-month assessments – A pilot study, Journal of Plastic, Reconstructive & Aesthetic Surgery. 2025; 104: 200.  https://doi.org/10.1016/j.bjps.2025.03.021

3

2025

Mehedi Hasan Tusar, Fateme Fayyazbakhsh, Niloofar Zendehdel, Eduard Mochalin, Igor Melnychuk, Lisa Gould, Ming C. Leu. AI-Powered Image-Based Assessment of Pressure Injuries Using You Only Look once (YOLO) Version 8 Models, Advances in Wound Care. 2025; wound.2024.0245.  https://doi.org/10.1089/wound.2024.0245

4

2024

Momna Sajjad Raja, Vinodhkumar Pannirselvam, Sriram harish Srinivasan, Balasubramaniam Guhan, Faizal Rayan. Recent technological advancements in Artificial Intelligence for orthopaedic wound management, Journal of Clinical Orthopaedics and Trauma. 2024; 57: 102561102561.  https://doi.org/10.1016/j.jcot.2024.102561

5

2024

Davide Griffa, Alessio Natale, Yuri Merli, Michela Starace, Nico Curti, Martina Mussi, Gastone Castellani, Davide Melandri, Bianca Maria Piraccini, Corrado Zengarini. Artificial Intelligence in Wound Care: A Narrative Review of the Currently Available Mobile Apps for Automatic Ulcer Segmentation, BioMedInformatics. 2024; 4: 2321.  https://doi.org/10.3390/biomedinformatics4040126

6

2025

Nisha Shankhwar, Awadhesh Kumar Verma, Ashab Noumani, Tanya Singh, Kalakuntla Sriharshitha Rao, Vivekanand, Neeta Raj Sharma, Satyendra Singh. Integrating advanced synthesis techniques and AI-driven approaches with nanofiber technology: A state-of-the-art approach to wound care management, Next Nanotechnology. 2025; 8: 100147100147.  https://doi.org/10.1016/j.nxnano.2025.100147

7

2024

I.A. Lurin, M.B. Gorobeiko, Ye.I. Sokol, O.Yu. Usenko, E.M. Khoroshun, V.V. Makarov, V.V. Nehoduiko, K.V. Gumeniuk, B. Gorobeyko, A.V. Dinets. A review of the artificial intelligence application as a guideline tool for the wound management, EMERGENCY MEDICINE. 2024; 20: 417.  https://doi.org/10.22141/2224-0586.20.5.2024.1742

8

2024

Sourav Dhandhi, Yeshna, Vishal, Monika, Bhawna Goel, Samrat Chauhan, Suchitra Nishal, Monika Singh, Vikas Jhawat. The interplay of skin architecture and cellular dynamics in wound healing: Insights and innovations in care strategies, Tissue and Cell. 2024; 91: 102578102578.  https://doi.org/10.1016/j.tice.2024.102578

9

2024

Ovya Ganesan, Miranda Xiao Morris, Lifei Guo, Dennis Orgill. A review of artificial intelligence in wound care, Artificial Intelligence Surgery. 2024; 4: 364.  https://doi.org/10.20517/ais.2024.68

10

2024

Rose Raizmam, José Luis Ramírez-GarciaLuna, Tanmoy Newaz, Sheila C Wang, Gregory K Berry, Ling Yaun Kong, Heba Tallah Mohammed, Robert Douglas John Fraser. Empowering Patients and Caregivers to Use AI and Computer Vision for Wound Monitoring: A Feasibility Study (Preprint), Journal of Participatory Medicine. 2024;   https://doi.org/10.2196/69470