價格：免費
更新日期：2019-07-30
檔案大小：54M
目前版本：1.2.0.1019
版本需求：Android 6.0 以上版本
官方網站：http://www.askaysa.com/contact
Email：hello@askaysa.com
聯絡地址：339 East Avenue, Suite 410 Rochester, NY 14604
Aysa is available for free for a limited time. Aysa is the easy-to-use app to get personalized answers to your skin condition questions. Use the phone's camera to take a picture of your skin concern & Aysa quickly analyzes your photo to provide personalized, helpful information and guidance on what to do next, all while protecting your privacy.
Your skin is unique; skin conditions can look different from person to person. Aysa is diverse too. Its curated library of more than 120,000 medical images includes every skin color and type, and what each of 200 skin conditions can look like at every stage. Instead of just worrying about that rash, redness, or other skin condition, you can get the answers you need with Aysa.
Aysa is built on the resources of VisualDx, an award-winning clinical decision support system designed for healthcare workers to enhance diagnostic accuracy, aid therapeutic decisions, and improve patient safety. It draws on the experience of more than 47,000 physicians and nurses, and more than 137 million health searches to be your trusted digital skin health advisor.
Aysa protects your privacy through use of machine learning, which is executed within the app on your device. The photos of you and your family’s skin issues never leave your phone.
Aysa knowledge and recommendations are based on best available evidence ordered according to standard industry protocols, interpreted by expert opinion. Best available evidence is evaluated by source type, statistical validity, and clinical suitability. Content includes materials adapted from leading textbooks, literature review articles, PubMed, the US Centers for Disease Control and Prevention (CDC), the World Health Organization (WHO), and Infectious Diseases Society of America (IDSA). Leading content sources are reviewed, as is medical literature in general, with ongoing targeted searches in MEDLINE and PubMed. Editorial contributors and staff follow a protocol from most to least evidence: from meta-analyses and systematic reviews of randomized controlled clinical trials to cohort studies to case-control studies to case series to individual expert opinions.