Agile Data Investigations

Cardiac Images Analysis

Deep learning CT images processing to most accuratelly facilitate cardiac ischaemia therapy.

Deep Learning Comprehensive
Cardiovascular Disease Diagnosis

State-of-the-art AI deep learning analytics system

Designed for comprehensive cardiovascular ischemia non-invasive, CCTA-based analysis (indicating tissue affected by lack of oxygen in the heart).

Software as Medical Device #SaMD

Acting as a doctor's adviser and delivering a realistic 3D model of the examined heart with coronary vessels, stenosis, and ischaemia area indicated, enabling deep understanding of the anatomy and pathophysiology of the case.

Critical Aspects

Comprehensive assessment of stenoses and corresponding ischemia in real time
Time of reaching definite diagnosis
Size of the heart ischemia

Our vision and goal is to make non-invasive, yet thorough diagnostics accessible to everyone. Both high-risk patients and patients that need initial assessment. This means diagnosis with no surgical interventions, eliminating risk of complications, such as arterial dissection.

                                                                                                    The AI solutions currently in use stop midway delivering only half-processed
                                                                                                    data – typically the pressure distribution
                                                                                                

CT-FFR – doing 50% of the analysis, and leave further statistical like analysis to the clinicians.

We go further – we analyse the anatomical data and assess the actual affected heart's area size. This is the answer the clinicians actually need.

PCT Patent of the solution - PCT/IB2023/059985