UXDA20-Nominee NT4: dot Home Diagnosis Service based on AI
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UXDA20-Nominee NT4: dot – Home Diagnosis Service based on AI
Nominated for the UX Design Awards 2020 in the "New Talent"-category, dot – Home Diagnosis Service based on AI was designed by Andreas Kissling, Miriam Brüne, Thomas Memel, Andreas Hutter and Nagihan Avcu of Hochschule für Gestaltung, Schwäbisch Gmünd (Prof. Dr. Susanne Schade, Prof. Gabriele N. Reichert).
Especially for seniors and chronically ill people, going to the doctor can be a challenge. Through the interaction of human experience, Machine Learning and mobile sensor technology, dot enables the patient to get a precise diagnosis with personal medical care. Guided by the Artificial Intelligence "Liv", the patient can describe her symptoms and determine the necessary measured values with the suitable "dots". If an acute problem is suspected, the patient receives fast access to medical care.
More info: miriambruene.com/dot/
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