Artificial Intelligence Identified Dyskalemia Using Electrocardiogram (AIDE)

National Defense Medical Center, Taiwan

Status: Completed

Conditions: Hyperkalemia; Hypokalemia

Treatments: Other: Artificial Intelligence identified Dyskalemia using Electrocardiogram (AIDE) system

Study type: Interventional

Funder types: Other

Identifiers

NCT05118022

NDMC2021004

Details and patient eligibility

About

This is a randomized controlled trial (RCT) to test a novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis and management of potassium abnormalities.

Enrollment: 14,989 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients in emergency department.
• Patients recieved at least 1 ECG examination.

Exclusion criteria

• Patients recieved dyskalemia-related treatment before ECG examination.
• The patients recieved ECG at the period of inactive AI-ECG system.

Trial design

Primary purpose: Screening

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

---

14,989 participants in 2 patient groups

Intervention

Experimental group

Description:

Patients randomized to intervention will be cared by physicians under AI-ECG support.

Treatment:

Other: Artificial Intelligence identified Dyskalemia using Electrocardiogram (AIDE) system

Control

No Intervention group

Description:

Patients randomized to control will be cared by routine practice.