About us

According to World Health Organization more than 50 million individuals around the world in 2023 are suffering from epilepsy. With the increasing availability of EEG studies, the number of diagnosed patients with epilepsy will increase several times.

EEG, non-invasive and safe, is the preferred method for diagnosing epilepsy and differentiating it from similar conditions like cognitive or behavioral disorders.
NeuroAI Detect leverages AI to streamline EEG analysis, reducing time and costs, with the goal of improving global access to epilepsy diagnostics."

Main challeges

Prompt identification of seizures before they occur is crucial. It can enable patients to take early action to prevent serious accidents and injuries, yet remains a challenge.

Doctors must review full EEGs, a lengthy process that increases the cost and limits access to diagnostics.

Time-Intensive Analysis:

Routine EEGs cost between $200-$700, putting a financial strain on patients.

High Costs:

Predictal Stage Detection:

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Our Solution

NeuroAI Detect - the innovative system based on Artificial Intelligence for early epilepsy detection through extensive automated EEG analysis. Deep learning algorithms analyzes EEG signals, identifying patterns associated with epileptic, improve accuracy, reducing diagnositics time and costs.

Main focus

Generally AI research includes predicting seizure onset, identifying photoparoxysmal responses, classifying EEG components, and synthesizing conclusions from full EEG records.

Clinically, pinpointing the 'spike-and-wave' complex is vital. This key EEG feature occurs during and between seizures, serving as a definitive marker of epilepsy."

Time-Intensive Analysis:

Predictal Stage Detection:

How it works?

1. Pattern Identification: Our AI system identifies the key pathological EEG pattern, the spike-and-wave complex, which signifies an epileptic seizure when repeated at high amplitude.

2. Interictal Analysis: For interictal EEGs, the AI recognizes single, local spike-and-wave patterns. In children aged 4-14, these may indicate a risk of developing epilepsy or developmental disorders like BFEDC.

3. AI Assistance: The artificial intelligence highlights all detected patterns, streamlining the diagnostic process by presenting only pertinent data to the physician.

4. Efficiency Boost: This method reduces the doctor's EEG review time from hours to minutes, accelerating analysis by a factor of 10-20."

Strategic Partnerships

Engage in partnerships with EEG manufacturers to enhance device compatibility and functionality.

Work closely with epilepsy clinics and research facilities to refine our algorithms and validate technology.

Clinical Alliances

Collaborate with governmental health agencies to expand reach and support public health initiatives.

Public Sector Engagement

Industry Collaborations

Licensing Policy

Providing licenses to medical institutions and companies.

For healthcare providers and institutions

Clinical Alliances

Subscription model for access to the cloud platform and updates.

Public Sector Engagement

Industry Collaborations

Key advantages

Enables detection of epilepsy at initial stages, significantly improving treatment outcomes.

Through continuous data expansion and advanced machine learning techniques, our algorithms aim to exceed manual diagnostic accuracy, targeting a 99.9% success rate.

Data-Driven Accuracy

By cutting down EEG analysis time and costs, we enhance the accessibility of epilepsy diagnostics for a broader patient base

Efficiency and Accessibility

Early Diagnosis

Collaboration and Technology Advancement Opportunities:

Seeking partnerships with top clinics to enrich our machine learning algorithm with annotated data.

Offering our AI platform at no cost for clinical trials to enhance research and development.

Complimentary AI Platform

Welcoming joint ventures to broaden the application of AI technologies in diagnosing a variety of diseases."

Open Collaboration

Clinical Data Partnership:

Our team