Artificial Intelligence-based

Clinical Decision Support using Predictive AI Models

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 millions of patients.

Chronic diseases can lead to numerous comorbidities.

Diabetic Polyneuropathy

Half of the diabetes patients are estimated to develop diabetic polyneuropathy.¹

~50%

Hypertension

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

54-74%

AI disease prediction

Identify undetected diseases – especially among patients with chronic diseases.

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.

Benefits of AI Clinical Decision Support

Patients

Improve the quality of life of diabetes patients

Medical Units

Support physicians in their decision-making and reduce time and cost efforts

Health Insurance

Reduce costs for the healthcare system and improve patient care

We are open for collaboration!

If you are interested in our work, we would be happy to discuss potential collaborations. Reach out to us.

References

  1. Ziegler D, et al. Screening, diagnosis and management of diabetic sensorimotor polyneuropathy in clinical practice: International expert consensus recommendations. Diabetes Res Clin Pract. 2022 Apr;186:109063. doi: 10.1016/j.diabres.2021.109063. Epub 2021 Sep 20. PMID: 34547367.
  2. Ostchega Y, Fryar CD, Nwankwo T, Nguyen DT. Hypertension prevalence among adults aged 18 and over: United States, 2017–2018. NCHS Data Brief, no 364. Hyattsville, MD: National Center for Health Statistics. 2020.