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VisualDx, the leading diagnostic clinical decision support tool for physicians, today announced an expansion of their partnership with the U.S. Department of Veterans Affairs (VA), the largest integrated health care system in the U.S.
The app uses machine learning to identify skin conditions and make treatment suggestions.
The Aysa app does not diagnose or replace a clinician but lets users take a picture of their skin concern, answer a few questions and receive information to help them better understand their condition.
In 2017, the average wait time in metro areas to see a dermatologist for a routine skin exam was 32 days. Using machine learning, Aysa is able to provide real-time results for skin photos taken in the privacy of a consumer’s home.
VisualDx launches Aysa, the first of its kind AI-driven smart symptom checker to arm consumers with information and images to better understand skin conditions.
WXXI's Brett Dahlberg has the story of a Rochester startup's effort to change inequalities in how diseases are diagnosed on different ends of that spectrum.
There's a wide spectrum of opinion on AI in healthcare. Medscape gathered up a few comments from a recent article to which Dr. Papier contributed.
Beta testing of Aysa, an AI-driven app, begins and revolutionizes the public's understanding of skin conditions.
Mobihealth News reports on how NASA is tackling the issue of telemedicine for astronauts by reaching out to VisualDx to create a diagnostic tool for astronaut use on deep space missions.
Dr. Louis Krenn writes about how technology can have a positive impact on rural healthcare and how VisualDx puts specialty level knowledge at the point of care.