computer vision

By Jonah Comstock November 14, 2018
Computer vision has great promise for helping to democratize fields like wound care, dermatology and more. However, as companies explore this potential, they’re also discovering a number of challenges to overcome. The data problem “Getting the data is really the biggest challenge, not the AI,” Karen Panetta, IEEE fellow and dean of graduate engineering at Tufts University who studies AI use cases...

Photo credit: Tissue Analytics 

By Jonah Comstock November 13, 2018
One promising area in which artificial intelligence is rapidly advancing is computer vision, algorithms which process images. Healthcare entrepreneurs are in the midst of turning this technology toward healthcare, where algorithms can identify rashes and lesions, measure and analyze wounds, and bring colorimetric testing into the home — all using photos or short videos snapped by our smartphones...

Photo credit: Tissue Analytics 

By Jonah Comstock November 5, 2018
Sierra Madre, California-based Wound Care Advantage, a manager of outpatient wound treatment centers, has partnered with Baltimore-based Tissue Analytics to use the digital health startup's technology to measure wounds and develop improved treatment protocols. "Joining forces with technology companies at the forefront of innovation in healthcare is incredibly important as we tackle problems...
By Jonah Comstock July 25, 2018
Correction: Thanks to an eagle-eyed reader, this story has been updated to remove the claim that Dip.io is the first FDA-cleared smartphone urine test. We've reached out to Healthy.io for comment on this development and we'll update when we hear more. Tel-Aviv, Israel-based Healthy.io has secured FDA 510(k) clearance for Dip.io, a home-based urinalysis kit that turns a smartphone into a clinical-...