The research
3 documents · open sources
For anaesthetists and anaesthesia residents
One anaesthesia case a day, with an AI that is sometimes wrong on purpose. Will you notice?
Created by an anaesthesia resident and a clinical engineering student.
The problem
3 documents · open sources
3 sheets · our reading
How it works
We don't teach you to trust AI: we train you to oversee it, and we measure how you do it.
A patient, the vital signs, the monitor. Even on your phone.
Ask for its opinion, as you would in theatre. Sometimes it's wrong on purpose.
Where you trusted it, where you corrected it, how long it took.
What you get
In anaesthesia, written with anaesthesia and intensive care doctors.
When you follow the AI and when you question it, over time.
FAQ
What you want to know before signing up.
We give you a case. An AI assistant offers an interpretation, sometimes right and sometimes not. You decide, and at the end you see where you trusted it too much.
Yes, sometimes. That's the point: training to notice.
Anaesthesia and intensive care doctors.
We're starting with anaesthesia. Sign up anyway: it helps us decide where to go next.
No, and be wary of anyone who promises that. It shows you where you trust too much.
Nothing during the trials. Those who help us by testing the demo will be entitled to an exclusive price.
First doctors list
We'll write to you when the trials open. No spam.
Founder · Product & Technology
Clinical Engineering student
Co-founder · Clinical Lead
Anaesthesia & Intensive Care resident
We're looking for people who want to build LuceMed with us: not only doctors.
Hospital, school or AI company? Page for organisations.