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CARES4WOUNDS C4W

CARES4WOUNDS C4W-B is an AI-enabled Wound Care Imaging, Assessment, Management and Monitoring System designed to raise productivity and quality in wound care

CARES4WOUNDS C4W-B is an AI-enabled Wound Care Imaging, Assessment, Management and Monitoring System designed to raise productivity and quality in wound care

CARES4WOUNDS C4W

by Tetsuyu Healthcare Holdings Pte Ltd
CARES4WOUNDS C4W
CARES4WOUNDS C4W
CARES4WOUNDS C4W

What is it about?

CARES4WOUNDS C4W-B is an AI-enabled Wound Care Imaging, Assessment, Management and Monitoring System designed to raise productivity and quality in wound care.

CARES4WOUNDS C4W

App Details

Version
2.1.3
Rating
NA
Size
76Mb
Genre
Medical
Last updated
September 10, 2024
Release date
June 14, 2024
More info

App Screenshots

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App Store Description

CARES4WOUNDS C4W-B is an AI-enabled Wound Care Imaging, Assessment, Management and Monitoring System designed to raise productivity and quality in wound care.
The system comprises a mobile application tool for automatic 3D wound measurement and tissue-classification, together with a web-based monitoring system.

Disclaimer: Users to seek a doctor’s advice in addition to using this app and before making any medical decisions.

Citations reference point
1. Wound tissue types in chronic wound management | WoundSource. (n.d.). https://www.woundsource.com/blog/chronic-wound-management-types-wound-tissue

2. Identifying types of tissues found in pressure ulcers | WoundSource. (n.d.). https://www.woundsource.com/blog/identifying-types-tissues-found-in-pressure-ulcers

3. Young, T. (2015). Accurate assessment of different wound tissue types. Wound Essentials, 10(1), 51–54. https://wounds-uk.com/wp-content/uploads/sites/2/2023/02/content_11581.pdf

4. Khoo R, Jansen S. The Evolving Field of Wound Measurement Techniques: A Literature Review. Wounds. 2016 Jun;28(6):175-81. PMID: 27377609.

5. Chan KS, Chan YM, Tan AHM, Liang S, Cho YT, Hong Q, Yong E, Chong LRC, Zhang L, Tan GWL, Chandrasekar S, Lo ZJ. Clinical validation of an artificial intelligence-enabled wound imaging mobile application in diabetic foot ulcers. Int Wound J. 2022 Jan;19(1):114-124. doi: 10.1111/iwj.13603. Epub 2021 May 4. PMID: 33942998; PMCID: PMC8684856.

6. Lau CH, Yu KH, Yip TF, Luk LYF, Wai AKC, Sit TY, Wong JY, Ho JWK. An artificial intelligence-enabled smartphone app for real-time pressure injury assessment. Front Med Technol. 2022 Sep 23;4:905074. doi: 10.3389/fmedt.2022.905074. PMID: 36212608; PMCID: PMC9541137.

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