Duke University engineers and Nokia Bell Labs developed an AI pipeline that analyzes optical coherence tomography (OCT) data to quantify wound healing in real time. The tool extracts structural and vascular features from OCT images and applies machine learning to produce objective wound‑healing metrics for research and clinical monitoring. Authors propose the platform could standardize endpoints in regenerative medicine and clinical trials where visual assessment is subjective. OCT is a high‑resolution, non‑invasive imaging modality; the AI analytics aim to speed interpretation and enable routine bedside use.