Droplet Tracker 與 CARES4WOUNDS C4W 使用情況與統計

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.