
Researchers demonstrate an AI-powered OCT system for objective, non-invasive wound healing assessment.
Key Details
- 1Custom-built OCT system combined with AI models for tissue regeneration assessment.
- 2Collaboration between Duke University and Nokia Bell Labs.
- 3System accurately quantifies tissue structure and vascular changes during healing in mice.
- 4Study found stiffer hydrogels sped up formation and maturation of healing tissue.
- 5Published March 20, 2026, in Cell Biomaterials; DOI: 10.1016/j.celbio.2026.100422.
- 6Plans are underway to adapt this platform for clinical use in chronic wound prediction.
Why It Matters
This technology could transform wound care by enabling objective, real-time, and non-invasive monitoring of healing, moving beyond traditional visual inspection and offering greater insight for clinicians and researchers. The combination of OCT imaging and AI could also guide therapy optimization in chronic wound management.

Source
EurekAlert
Related News

•EurekAlert
New G-AUDIT Tool Detects Hidden Bias in Medical AI Training Data
Johns Hopkins and FDA researchers unveil G-AUDIT, a tool to identify hidden biases in medical AI datasets before model training.

•EurekAlert
AI-Driven Bone Marrow Mapping Tool Improves Blood Cancer Assessment
Weill Cornell Medicine develops an AI tool to score and track disease severity in blood cancer from bone marrow imaging.

•EurekAlert
AI-Assisted Imaging Advances Precision in Brain Tumor Therapy Delivery
An AI-guided method improves intra-arterial therapy by mapping all tumor-feeding arteries to enhance delivery accuracy in malignant brain tumor treatment.