Artificial Intelligence-based
Our work addresses the significant burden of identifying patients with potential diseases by utilizing cutting-edge AI models that have been trained on the data of thousands of patients.
Half of the diabetes patients are estimated to develop diabetic polyneuropathy.¹
74% of adults over the age of 60 and 54% of adults over 40 are diagnosed with hypertension, which is a primary factor in the onset of more serious comorbidities.²
AI disease prediction
Our machine learning models correctly identify, for example, 79% of diabetic polyneuropathy patients, while keeping the number of false diagnoses moderately low (excerpts from clinical study results). In contrast, the current healthcare system only diagnoses up to 23%¹ of diabetic polyneuropathies.
We also use our models to find important patterns and events that will help to diagnose diseases even better.
Improve the quality of life of diabetes patients
Support physicians in their decision-making and reduce time and cost efforts
Reduce costs for the healthcare system and improve patient care
If you are interested in our work, we would be happy to discuss potential collaborations. Reach out to us.
References