Visualdx.com no longer supports your web browser (Internet Explorer version 8 or lower). See what browsers we support.
Osmosis to partner with CMSS and VisualDx to educate current and future clinicians on shared decision making and improving diagnosis.
Finding robust data sources, correcting for variations in images and avoiding bias are all hurdles to overcome.
If you think of health information technology only as electronic medical records, you may be dismissing a range of valuable tools.
Dr. Ron Elfenbein talks to Becker's Hospital Review about using healthcare technology at his emergency medicine clinic day to day.
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.