Call for Papers

Technology in Wound Care Special Issue 2026

Journal of Wound Management Special Issue 2026 Technology in wound care

Guest Editors: Dimitri Beeckman (Belgium) and Sebastian Probst (Switzerland)

We are pleased to announce a forthcoming Special Issue for November 2026 dedicated to exploring the rapidly evolving landscape of technology in wound care, with a particular focus on the transformative role of artificial intelligence (AI). As digital health tools, advanced sensors, data-driven algorithms, and smart treatment platforms continue to reshape clinical wound practice, this special issue aims to bring together cutting-edge research and thought leadership at the intersection of technological innovation and wound management.

 

The special issue has the following objectives:

– Identify emerging technologies that enhance wound assessment, monitoring, and treatment.

– Analyse the applications of AI across the wound care continuum, including diagnosis and decision support.

– Evaluate clinical, ethical, and implementation challenges associated with integrating technology and AI into wound care practice.

 

We invite researchers, clinicians, medical device companies, and interdisciplinary teams to contribute with original studies, reviews, implementation reports, case series, and perspectives that advance the understanding and responsible application of innovative technologies in wound care.

 

The special issue guest editors welcome submissions of the highest scientific quality. We welcome systematic reviews, real-world evidence, implementation studies, fundamental research, trials, or/and quality-improvement projects.

Authors are welcome to contact one of the guest editors to discuss whether their work is suitable for this special issue before submitting their work.

All submissions will be subject to double-blind peer review and is expected to be published in November 2026.

Deadline for submissions

1 June 2026

Contact

Questions? Please contact the editiorial office at ewma@ewma.org

Skip to content ­