VisualDx Makes AI Skin Symptom Checker App Aysa Available on Android

ROCHESTER, N.Y., April 10, 2019 /PRNewswire/ — VisualDx, the leading diagnostic clinical decision support tool for physicians, has announced that its artificial intelligence-driven symptom checker app, Aysa, is now available for download on Android devices. Aysa, which launched on the iOS platform in September 2018, allows patients to become more educated and make more informed decisions about their personal skin problems. The technology behind Aysa is trained through the VisualDx platform which combines clinical search and medical knowledge from experts plus the world’s best medical image database. Aysa provides real-time results for skin photos taken in the privacy of a patient’s home using machine learning.


From psoriasis to herpes, skin conditions come in different colors, shapes, sizes and severity and can look different on different skin types, even if they are the same condition. By simply taking a photo of one’s skin condition and answering a few questions, Aysa generates possible answers in addition to next steps for the Android user by suggesting self-care measures or advising a visit with a health care provider. Aysa arms consumers with information and images to better understand skin conditions.

“Our goal is to give consumers reliable treatment guidance for an array of potential skin problems right on their cell phones,” said Dr. Art Papier, CEO of VisualDx. “Now Android users can access accurate information and direction for their skin health issues.”

Aysa, which will cost $9.99 for a one-year subscription, can be downloaded on Google Play. For a limited time, new users can download Aysa free of charge. Aysa is also available on iOS-based devices. For more information, visit

VisualDx is an award-winning diagnostic clinical decision support system that has become the standard medical professional resource at more than 50% of U.S. medical schools and more than 2,300 hospitals and clinics worldwide. VisualDx combines problem oriented clinical search with the world’s best curated medical image library, plus medical knowledge from experts and sophisticated machine learning algorithms to help with differential diagnosis, variation, treatment, and patient communication. Our mission is to improve healthcare decision making and reduce diagnostic errors. Learn more at

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