Our research team
Dr. Mohammad Hammoud
CEO
Shahd Douglas
Director of Health Content
Dr. Alma Dzharkas
Medical Doctor
Dr. Mohamad Darmach
Medical Doctor
Youssef Kanbour
Senior Software Engineer
Swapnendu Sanyal
Senior AI Engineer
Our open clinical benchmark vignette suite
Digital health has
become ubiquitous
Everyday millions of people turn to the Internet for health information and treatment advice [1, 2]. For instance, in Australia, around 80% of people search the Internet for health information, and nearly 40% seek guidance online for self-treatment [3, 4]
In the US, almost two-thirds of adults search the Web for health information and roughly one-third utilize it for self-diagnosis , trying to discover by themselves the underlying causes of their health symptoms [5]
Self-diagnosis as an integral part of digital health
Medical self-diagnostic systems are increasingly becoming an integral part of digital health, with more than 15 million users per month [6] that are likely to keep growing. A recent UK-based study found that more than 70% of individuals between the ages of 18 and 39 years would use a self-diagnostic tool [7]
Nevertheless, the utility and promise of self-diagnostic systems cannot be materialized if they do not prove to be accurate. As part of Avey’s mission, we have been researching, designing, developing, and testing a self-diagnostic algorithm to empower patients for more than 4 years now.
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