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using AI to analyze wound exudates, periwound areas, and bacteriology could facilitate more accurate
[58]
assessments of healing . Nanotechnology with AI may offer a promising way of identifying bacteria and
their characteristics in wounds, though the idea has not yet been fully studied. Similarly, research into
genetic risk factors for certain wounds could pave the way for better prognostics.

CONCLUSION
AI stands to meaningfully impact wound diagnosis, management and therapy, and prognosis. Its ability to
draw conclusions from relevant data in EMRs, patient images, and entered criteria allows for efficient and
effective guidance. AI can help guide treatments outside the clinic as well, eventually making for more
equitable care. While ensuring equitable access, diverse datasets, and data security presents challenges,
further research can help address these issues and mitigate potential harms.

Being receptive to the improvements AI can offer while also addressing challenges as they arise will be
crucial to the safe use of new technology in wound care. The field of medicine is constantly evolving, but
cautious optimism will allow for the deliberate integration of empowering AI usage in wound care.

DECLARATIONS
Authors’ contributions
Conceptualization, writing - review and editing, writing - original draft: Ganesan O
Writing - review and editing: Morris MX, Guo L
Conceptualization, project administration, writing - original draft, writing - review and editing: Orgill D

Availability of data and materials
Not applicable.

Financial support and sponsorship
None.

Conflicts of interest
All authors declared that there are no conflicts of interest.

Ethical approval and consent to participate
Not applicable.

Consent for publication
Not applicable.

Copyright
© The Author(s) 2024.

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