Empowered Patient Podcast Advanced Standard of Care for Wounds Driven by AI-Powered Imaging Device to Predict Wound Healing with Wensheng Fan Spectral AI
Wensheng Fan, CEO and Co-Founder of Spectral AI, understands that the ability to accurately determine whether a wound will heal is currently lacking in wound care. The Spectral AI predictive imaging technology uses multispectral imaging and AI to assess the viability of injured tissue and predict wound healing outcomes. The DeepView device is portable and easy to use, providing fast analysis and saving time in determining the appropriate next steps to treat acute and chronic wounds.
Wensheng explains, "Ten years ago when we were founded, we were doing bed sore early detections. Then we transitioned into burn wounds, and the latest adventure is for the diabetic foot ulcer. We see all these acute and chronic wounds, and they all need a common thing to let physicians, clinicians, and patients know whether these wounds will heal or not. That's a simple question, but so far, we don't have a good answer to it with the technology on the market."
"For example, let's use acute burn wounds. The current standard of care, per se, is actually the physicians have to wait and see, sometimes up to 21 days, to determine if a burn will heal or not. Why are they so careful? Because visually the wound changes and if it's a non-healing burn, what they need to do is clinically debride that area to take out the dead tissue so that they can put the skin substitute and other products on it to help the overall healing."
"We look at the wound from near UV lights across the visible band seen in the human eye and into the near IR lights. We capture the injured tissue's spectral signature, like a fingerprint for those non-healing tissues. We found it and then realized ten years ago that the human brain is not good enough to process that information. We introduced AI, machine learning, deep learning, and all those advanced technologies in identifying non-healing burn tissue since 2014. So far, we have achieved 92% accuracy on day one of looking at a burn wound to decide where that burn wound will never heal or if there are healing tissues that you don't need to take into surgical consideration. So, this technology will become an assistant to burn professionals and ER doctors in deciding how to process the patients during that first encounter."
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