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 algorithms aim to detect patients at risk of various comorbidities. Our preliminary clinical study results correctly identified 73% 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 45%¹ of diabetic polyneuropathies.
If you are interested in our work, we would be happy to discuss potential collaborations. Reach out to us.
You can also sign up to our mailing list to receive the latest news
References