SINAPSE: AI-driven diagnostic assistant for stroke detection, delivering 93% accuracy in just 15–30 seconds

SINAPSE supports stroke teams by detecting acute stroke signs on non-enhanced CT scans and providing ASPECTS scores in real time. It highlights relevant CT slices and detects other coexisting brain abnormalities such as old strokes, tumors, and hematomas.

ACCURACY

93%

Currently SINAPSE has become one of the most effective AI tools of its kind globally, with an accuracy of 93%.

SPEED

15-30 sec

While doctors and other AI tools can take up to 20 minutes to deliver results, SINAPSE presents result in just 15 to 30 seconds.

INTEGRATION

customized

Unlike competitors who require separate, standalone solutions, SINAPSE integrates directly into existing hospital systems – no new platforms or logins. Intuitive by design.

FOCUS

patient centricity

Real-time AI assistance focusing on the earliest and most critical step in stroke diagnosis. It enables emergency and radiology teams to quickly assess and prioritize critical cases.

How system works for You

Real-time AI assistance focusing on the earliest and most critical step in stroke diagnosis, analysing the initial native CT scans without perfusion – the standard, non-contrast images available immediately and without extra equipment. This allows earlier stroke detection at a lower cost and with greater accessibility in emergency settings.

CT Scan Completion

A patient undergoes a cranial CT scan, typically for suspected ischemic stroke or head trauma

Data processing

SINAPSE receives and processes the image data within 15 seconds, using its algorithm to detect abnormalities

Auto-Generating a
Pre-Filled Report

The AI flags affected slices and during max 15 sec generates a preliminary diagnostic summary

Radiologist Confirmation

The radiologist is presented with only the relevant slices, enabling quick review and confirmation

Detection & diagnosis capabilities

Instant identification of critical stroke signs and coexisting abnormalities.

Acute ischemic stroke

Hyperdence artery

ASPECTS score

Abnormality

Normal

Trusted digital solutions

System integration

System Integrates directly into already existing hospital Systems – no new platforms, logins. With an intuitive user experience, the diagnostic system requires no complex, additional training, enabling immediate adoption in clinical practice.

Data protection

System receives and processes anonymized patient information in line with healthcare data protection requirements, while guaranteeing that no facial reconstruction is technically possible.

Personalized support

Human-powered support to ensure personalized assistance. No bots, just people ready to help.

Clinically validated, already supporting real-world stroke care

Validated over 5 years in partnership with Pauls Stradins Clinical University Hospital and leading stroke experts in Latvia. System was trained on thousands of anonymized CT scans, curated and annotated by experienced radiologists.

Key results from clinical validation:

±0.62 ASPECTS score difference (vs. ±1.5 for average diagnosis)

93% diagnostic accuracy in stroke detection

15–30 seconds processing time per scan

Fully validated in hospital environment, compatible with existing systems

Continuous refinement through clinician feedback and new patient cases

More than a theoretical model — our clinically validated system is already supporting faster diagnostics and more accurate treatment decisions in real-world stroke care.

Our team

Experienced medical and technology experts – the leading force behind SINAPSE.

AGNIS JAKUBOVICS

Co-Founder
Board Member

Founder and Chairman of the Board at APPLY – a company offering custom AI solutions
Experienced company manager with a track record in the IT industry
Skilled in business development, project planning, and leadership

ELVIJS GULBIS

Business Dev and Sales
Product Developer

10+ years in sales and marketing roles within healthcare and pharma
Held senior positions in the leading healthcare companies in Latvia, including Grindeks and MFD Healthcare Group

med. PhD Prof. KARLIS KUPCS

Co-Founder
Medical Lead Radiologist

Professor at Riga Stradins University
Head of Department at Pauls Stradins Clinical University Hospital
Specialises in interventional neuroradiology, cerebral vascular pathology, CT and MRI

med. Dr. ANDRIS VEISS

Co-Founder
Radiologist

MD at Pauls Stradins Clinical University Hospital
Specialises in diagnostic and invasive radiology, invasive oncology
Board member of the Latvian Association of Invasive Radiologists

SERGEJS IVANOVS

Sr. AI Research and Dev
AI Developer

Over 10 years at APPLY as a programmer, now focused on AI research and development
Background in Computer Science with expertise in AI, computer vision, and neural networks