Information
Evimatic goal is to achieve clinical decisions to be optimal.
We utilize artificial intelligence (AI) to assist clinicians and patients in shared decision-making.
We have developed TDApp, an AI-powered, clinician-controlled recommender system. TDApp is the first eHealth tool that generates decentralized, automated, personalized, participatory, and explanatory treatment recommendations in a format similar to clinical practice guidelines. We have implemented TDApp to assist clinicians in treatment decision-making for attention deficit hyperactivity disorder (ADHD) as a proof of concept before expanding its application to other diseases. The minimal viable product (MVP) for TDApp is planned to be launched in April 2024.
We utilize artificial intelligence (AI) to assist clinicians and patients in shared decision-making.
We have developed TDApp, an AI-powered, clinician-controlled recommender system. TDApp is the first eHealth tool that generates decentralized, automated, personalized, participatory, and explanatory treatment recommendations in a format similar to clinical practice guidelines. We have implemented TDApp to assist clinicians in treatment decision-making for attention deficit hyperactivity disorder (ADHD) as a proof of concept before expanding its application to other diseases. The minimal viable product (MVP) for TDApp is planned to be launched in April 2024.