Ada2020, a project funded by the European Commission
Ada has developed a software that provides a unique visual reasoning support for medical professionals during the diagnosis process.
The award-winning user-interface of Ada provides to physicians all the relevant information visible at a glance, facilitating their interpretation of the patients – as a whole. It enables the doctor to take the most reliable and informed decision. After three years of fundamental research in new reasoning technologies, Ada is now able to capture knowledge from medical experts, transform it into a medical reasoning engine and deliver it directly to the point-of-care in a patient-specific manner.
1. Avoid Misdiagnosis
Misdiagnosis and excessive examinations occurs in particular during the treatment of serious illnesses, such as cancer and rare diseases.
2. Document the Process
The daily practice routine is supported by an intuitive, intelligent and visual diagnostic tool.
3. Support Decision-Making
8 out of 10 general practitioners worry about missing a serious condition in a patient due to their workload.
Reducing the number of misdiagnoses and wrong treatments can help to reduce personal suffering of the patients and healthcare costs simultaneously.
A study revealed that misdiagnoses and wrong treatments in the field of vertigo diseases cost about 1 Billion EUR per year in Germany. According to a recent study on the Healthcare decision support field (WinterGreen research – 2013), wrong test and test that are not useful in a particular situation, account for 30% of the costs of the healthcare delivery in the US. Three user targeted products will be set up, addressing three market segments: GP-Service, Expert-Service, Prevention-Service.
The project leaders of Ada2020
Henry HoffmannDirector of Reasoning Technology
Henry studied Computer Engineering at the Technical University of Berlin and since then has developed artificial intelligence technologies at several startups. He oversees our core reasoning technology team whose responsibilities include algorithm development, modeling proprietary languages and developing novel approaches to knowledge representation.
Dr. Martin Hirsch PhDFounder and Chief Scientific Officer
Martin grew up in a family of scientists, and is a grandson of the celebrated Nobel Laureate Werner Heisenberg. He studied theoretical medicine before working as an independent researcher. His special interests include cognitive neuroscience, semantic knowledge representation and the use of technology to support human thinking and decision-making.Contact for further information
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 674459.