Development of an explainable artificial intelligence model for Asian vascular wound images

• Main Authors: LO, Zhiwen Joseph, MAK, Malcolm Han Wen, LIANG, Shanying, CHAN, Yam Meng, GOH, Cheng Cheng, LAI, Tina Peiting, TAN, Audrey Hui Min, THNG, Patrick, WEYDE, Tillman, SMIT, Sylvia
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: artificial intelligence; computer-assisted image analysis; machine learning; vascular wounds; wound imaging; explainable artificial intelligence; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8546; https://ink.library.smu.edu.sg/context/sis_research/article/9549/viewcontent/International_Wound_Journal___2023___Lo___Development_of_an_explainable_artificial_intelligence_model_for_Asian_vascular.pdf
• Institution: Singapore Management University

Chronic wounds contribute to significant healthcare and economic burden worldwide. Wound assessment remains challenging given its complex and dynamic nature. The use of artificial intelligence (AI) and machine learning methods in wound analysis is promising. Explainable modelling can help its integr...