epiLoom
Prototype of an ILAE-2017-oriented epilepsy monitoring platform, conceived as a proof of concept for Swiss neurology departments. The project demonstrates real-time patient monitoring, AI-assisted seizure prediction and alignment with Swiss medical standards (ICD-10-GM, Swissmedic, EPD).
Problem
Epilepsy monitoring often relies on paper seizure diaries and manual EEG analysis — time-consuming, error-prone and carrying the risk of overlooked patterns.
Solution
A conceptual ILAE-2017-oriented platform showing how real-time patient monitoring, AI-assisted seizure prediction and integration into a modern medical infrastructure (ICD-10-GM, EPD, FHIR) could work together.
Target audience
Epilepsy clinics, inpatient monitoring units and affected patients with their treating physicians — wherever seizure documentation today gets lost between paper, memory and EEG analysis.
Tech Stack
Compliance
Roadmap
Current state: conceptual prototype with monitoring screens and seizure classification views. Next steps: evaluation talks with a Swiss neurology department, review of a FHIR interface to clinical systems, setup of a clinical validation study — without which no medical device approval is possible.
Screenshots
FAQ
Is epiLoom approved for clinical use?
Is the AI seizure prediction in active use?
Which standards are supported?
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What should we build together?
This project is part of our lab research. If you need something similar — your own AI tool, dashboard, custom workflow — talk to us. Every engagement starts with an honest assessment, not a sales pitch.