In April 2020, a group of internationally recognized data scientists developed a COVID-19 research tool powered by a new self learning AI engine that reads medical studies at a level of a human physician. The solution - WellAI. The WellAI team, breaking traditional AI boundaries, expanded the baseline tool with four additional neural networks enabling assimilation of over 30 million peer reviewed medical articles, journals, case studies, and continue to assimilate new publications as they emerged. This created a multidisciplinary diagnostic solution that addresses practically every known health condition from the common cold to rare diseases. The tool enables physicians and patients to, in a Siri like fashion, simply speak their condition (how they are feeling). WellAI ‘listens’ and cuts through the white noise of emotion and non-essential context to derive and translate the medical symptoms into a diagnosis. Based on an initial set of symptoms, it will ask logically derived questions to medically clarify how the patient is feeling (much like a medical practitioner conducts patient intake) and arrive rapidly (in less than 2 minutes) at an initial diagnosis. WellAI limits the diagnostic outcome to one or two most probabilistic health outcomes. WellAI provides a logical and scientifically validated starting point (or a scientific second opinion) for a physician or medical practitioner to begin the process of diagnostic validation and to create a prescriptive treatment plan. The WellAI solution is presented in two forms. A Digital Health Assistant represented as an “app” that is downloaded onto a smartphone, computer, or iPad which a physician, patient, or caregiver can tap open and use anywhere, anytime or as an engine. The engine is essentially the neural net/AI technology which can be repurposed or used on the backend to power or enhance another solution (i.e. a front office workflow screening or EHR enhancement). https://WellAI.health