EEG Patient Network
- Current methods of analysis haven’t changed in the past few decades, and they do not have the capability to extract information out of raw data. To solve these problems, Lennovation hopes to incorporate advances in artificial intelligence and machine learning to create an EEG data analysis software with predictive medical algorithms.
- EEG-PDAS will use AI/ML to extract the raw data, analyze it, and predict disease before it occurs by comparing the data to patient data over time.
- With the goal to be universal, reusable, and extremely accurate, EEG-PDAS strives to be implemented within any medical system as a functional analytical tool.
- It is targeted for clinical use as a decision support system.
- The technology will be accessible for physicians directly to improve the diagnostic process by breaking down the complex data for them, leading to faster diagnoses and more consistency.
