PROJECT TEAM
Anders Jørgensen – Psychiatrist, Copenhagen Psychiatry Center
Morten Mørup – Professor, DTU
Majda Pahah
Benedicte Lumby Jessen
Amalie Rand
THE NEED
Around 2,400 Danes receive ECT every year, and the number is increasing. ECT is one of the most effective psychiatric treatments, especially for severe depression.
Determining the correct stimulation dose is a complex clinical task still largely based on manual assessment. Too high a dose can cause cognitive side effects such as temporary memory loss, while too low a dose may reduce treatment effectiveness. he current process often requires time-consuming discussions and can delay treatment.
THE SOLUTION
AID-ECT is developing an AI-based clinical decision-support tool to help clinicians determine the optimal dose for subsequent ECT treatments. The solution is designed to support — not replace — clinical judgment through data-driven recommendations.
The ambition is to create a more personalized and efficient treatment pathway with faster decisions, fewer side effects, and better outcomes for patients.
AI-Driven Precision ECT – Copenhagen Psychiatry Center
Call 8 – 2025
GRANT: 500,000 DKK
Clinical Area
Psychiatry
Technology
AI-based clinical decision-support
PROJECT SUMMARY
AI-Driven Precision ECT (AID-ECT) aims to improve electroconvulsive therapy (ECT) through AI-supported dosing recommendations. The project combines psychiatric expertise with advanced AI to help clinicians make more precise treatment decisions, reduce side effects, and improve patient outcomes.
CLINICAL IMPACT
ECT is one of the most effective treatments for severe depression, but determining the correct stimulation dose remains a complex clinical challenge. AID-ECT aims to support more precise dosing, reduce cognitive side effects, improve treatment outcomes, and create a more efficient treatment pathway for both patients and clinicians.