Unlocking Precision in Epilepsy Diagnosis through the power of AI

Discover the
deegtal Insights Platform

Over 10 million people experience a possible first epileptic seizure each year.

At dEEGtal, we simplify the epilepsy diagnosis process by improving routine EEG readings and offering important insights, even when no epileptic activity is seen. Our cutting-edge software speeds up care, leading to quicker and more accurate diagnoses, allowing healthcare providers to concentrate on patient care and treatment plans.

Key Features

  • AI-powered diagnostic precision

    To support clinical decisions, dEEGtal embeds an objective epilepsy risk score—providing insights beyond what is visible on the EEG.

  • Seamless

    Designed with clinicians in mind, dEEGtal is user-centric and seamlessly integrates into existing workflows—minimizing disruption while maximizing ease of use.

  • Reliability

    Developed at the University of Geneva, dEEGtal is validated on large multi-centric datasets. Ongoing studies confirm its AI models remain safe and unbiased.

Status Quo in Epilepsy Diagnosis

Non-Contributive EEG Results

75% of routine EEGs performed after a first seizure are non-contributive when analyzed visually.

Time-Consuming EEG Interpretation

EEG interpretation represents a significant share of neurologists’ clinical workload.

Delayed Diagnosis

On average, patients in Europe wait one year for a diagnosis; 30% of patients remain untreated after three years.

Improvements when Using dEEGtal Insights

Automated EEG Analysis

Reduces interpretation time, allowing clinicians to focus more on patient care.

Enhanced Signal Interpretation

Detects even subtle epileptic patterns with high precision.

Faster Diagnosis

dEEGtal accelerates epilepsy diagnosis by optimizing EEG interpretation—even in the absence of typical discharges—enabling quicker and more accurate clinical decisions.

 The deegtal Insights Platform

Core Components & Reporting Tools

  • Automated Slowing Analysis

    dEEGtal streamlines the detection of EEG slowing—an underused yet informative marker in epilepsy and other neurological disorders. It allows clinicians to quickly visualize the scalp distribution of slow-wave activity, supporting localization and improving diagnostic accuracy, while reducing manual review time.

  • Global EEG Signal Overview

    dEEGtal automatically identifies relevant EEG segments, analyzes the patient’s dominant rhythm, and performs heart rate analysis via the EEG system’s EKG channel—enhancing precision and streamlining diagnostics for clinicians.

  • Sleep Stage Identification

    dEEGtal Insights automatically identifies and classifies different sleep stages based on EEG signals, enhancing diagnostic accuracy and providing clinicians with comprehensive sleep architecture analysis.

  • AI-Powered Epilepsy Risk Score

    dEEGtal introduces a risk score that interprets background EEG activity to address inherent sensitivity limitations in epilepsy diagnosis, aiding in more precise diagnostic decisions.

  • Automatic EEG Signal Interpretation

    dEEGtal software automates and personalizes EEG report writing to match your specific preferences or institutional requirements, quickly generating high-quality reports and seamlessly integrating into your workflow.