Manual wound measurement often varies between clinicians, leading to inconsistent treatment. Deep learning models—a type of artificial intelligence (AI)—solve this by providing objective, high-fidelity analysis of images.

Some apps, like LukaKu , use object detection to suggest immediate first aid and drug recommendations based on the wound type detected. Summary of Wound Healing Stages

Advanced models can identify four specific tissue types (e.g., granulation or necrotic tissue), which is crucial for determining if a wound is healing or infected. 2. The Korean Contribution: Precision in Medical AI

In clinical settings, the term "deep" refers to that extend beyond the dermis into subcutaneous tissue, fat, or muscle. Traditionally, assessing these injuries was a subjective, manual process. Today, "deep" has a second meaning: Deep Learning . 1. Why "Deep" Learning for Deep Wounds?

AI can "delineate" the exact boundaries of a wound bed, separating it from healthy skin with 90%+ accuracy.