In medical AI, we are working for example to improve diagnostic and prognosis accuracy, or to provide faster diagnosis and treatment for patients.
Combining data from different sources, we try to reshape the patient journey in the health system to accurately provide the best possible treatment as fast as possible, while we also try to provide new insights into the development of illnesses and the ability to prevent illnesses before they become acute.
Prognosis of disease progression is playing a crucial role to prevent a waste of valuable time before symptoms are surfacing enough to be diagnosed – or even better, prognostic models can be used to prevent an illness at a very early stage.
This includes the development of new home鈥慸iagnostic and 鈥憁onitoring solutions, targeted at smart phones or glasses.
