The purpose of this study is to investigate whether the use of generative artificial intelligence (AI) as a support tool can improve physicians' ability to establish accurate differential diagnoses in emergency care.
The main questions it aims to answer are:
* Is AI-assisted differential diagnosis more accurate than the differential diagnosis performed by physicians?
* Does physicians' differential diagnosis change - in terms of the number of correct diagnoses - when they have access to AI-assisted differential diagnosis?
Eligibility
Sex
ALL
Min age
18 Years
Max age
—
Healthy volunteers
No
Inclusion Criteria:
* Adult patients \>18 years admitted through the emergency departments at Karolinska University Hospital in Huddinge and Solna.
Exclusion Criteria:
* Children \<18 years
* Patients without a recorded final diagnosis
Primary outcome measure(s)
The proportion of cases in which the final diagnosis is ranked highest by the physician and by the AI support, respectively — At discharge from the hospital Considering the final diagnosis after discharge from the hospital.
The proportion of physicians' differential diagnosis that change, in terms of the number of correct diagnoses, when they have access to AI-assisted differential diagnosis — After discharge from the hospital This is meassured after the patient has been discharged from the hospital
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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