AI-Driven Tools and Methods for Wound Healing: Towards Precision Wound Care and Optimized Outcomes
Faisal Al‐Akayleh, Rami A. Abdel‐Rahem, Mayyas Al‐Remawi, Faisal Aburub, I.S.I. Al-Adham, Ahmed S.A. Ali Agha
Abstract
Wound healing is a complex, multifactorial process, often hindered by subjective assessments. AI-driven models, leveraging machine learning and deep learning, enhance wound analysis, prognosis, and personalized treatment precision. By integrating multi-omics data and clinical imaging, AI optimizes decision-making, predicts healing trajectories, and improves patient outcomes. This review explores AI's role in advancing wound care, addressing applications, challenges, and future directions.
Topics & Concepts
Wound careWound healingComputer scienceArtificial intelligenceMedicineIntensive care medicineSurgeryPressure Ulcer Prevention and ManagementWound Healing and TreatmentsDiabetic Foot Ulcer Assessment and Management