Visualdx.com no longer supports your web browser (Internet Explorer version 8 or lower). See what browsers we support.

In the News

cellulitis_6634.jpg

$3 Million Effort to Improve Diagnostic Accuracy

Coverys Community Healthcare Foundation awards 10 organizations grants for projects including VisualDx to improve the diagnosis of cellulitis.

docwithstudents.jpg

Osmosis Collaborates with CMSS and VisualDx to Educate the Next Generation of Clinicians about Shared Decision Making, Diagnostic Errors

Osmosis to partner with CMSS and VisualDx to educate current and future clinicians on shared decision making and improving diagnosis.

dermexpert_promo_fb1.jpg

AI holds great promise for visual fields like dermatology, but faces many challenges

Finding robust data sources, correcting for variations in images and avoiding bias are all hurdles to overcome.

artpapier720.jpg

Can Technology Help Dermatology Rediscover Its Roots?

If you think of health information technology only as electronic medical records, you may be dismissing a range of valuable tools.

ipads_with_ddx_screens_small.jpg

Becker's Hospital Review: Embrace the full power of computers: Chesapeake ERgent Care CEO Ron Elfenbein

Dr. Ron Elfenbein talks to Becker's Hospital Review about using healthcare technology at his emergency medicine clinic day to day.

VisualDx Partners with the Department of Veterans Affairs to Improve Diagnostic Accuracy Nationwide

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. 

aysa_workflow_on_pink.jpg

MobiHealthNews: VisualDx launches Aysa, a consumer-facing deramtology app

The app uses machine learning to identify skin conditions and make treatment suggestions.

aysa_workflow_on_pink.jpg

MedCity News: VisualDx's new app lets users check skin conditions using AI

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.

aysa_launch_twitter12.jpg

HIT Consultant: VisualDx Launches AI-Driven Smart Symptom Checker App for Skin Conditions

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.

aysa_workflow_on_pink.jpg

VisualDx Launches Aysa for Consumers to Check Skin Conditions Using AI

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.

Previous