Doctor looking at screen imaging
    Nurse using DeepView machine
    wound assessment guidelines
    DeepView machine close up

Predictive Wound Healing

We’ve combined AI + multispectral imaging technology for faster and more accurate treatment decisions in wound care.

The DeepView® Wound Imaging System

Technology that provides an immediate wound healing prediction to clinicians with information that is not visible to the human eye, using multispectral imaging and Artificial Intelligence.

  • SpectralAI device

Noninvasive diagnostic technology using multispectral imaging to improve outcomes for patients with acute and chronic wounds.

  • SpectralAI device

Medical imaging with a platform that uses proprietary Artificial Intelligence (AI) to predict how a wound will heal.

  • SpectralAI device

Day One immediate binary output for clinicians that allows for a clear healing map of the wound prior to treatment or other interventions.

  • SpectralAI device

11 US patents and 12 foreign patents
Jeffrey C

Burn injuries are the most painful injury we can imagine and even small burns can be disabling. Early treatment and rehabilitation at verified burn centers can reduce weeks of dressing changes and help patients get the specialized care they need. This technology has promise to be the leap forward we have needed to bring about systematic change in burn care from the frontline all the way to the experts.

Dr. Jeff Carter, MD, Chief Medical Consultant

Spectral AI’s clinical results  show the incredible potential of DeepView® to significantly transform how we treat, manage, and assess Diabetic Foot Ulcers. Diabetic Foot Ulcers are unusually challenging due to the many comorbidities associated with diabetes, which may interrupt the healing process. I look forward to the continued collaboration with Spectral AI as we work to collect meaningful data to further validate this transformative technology.

Dr. Brock Liden,  Cutting Edge Research LLC
software developer


Help contribute to innovative solutions that alleviate suffering and improve the well-being of patients