Remote Patient Monitoring and Detection of Possible Diseases With Artificial Intelligence Telemedicine System

• Conditions: Laboratory Critical Values; Relative Value Scales; Vital Signs; Reference Values; Predictive Value of Tests
• Interventions: Diagnostic Test: mesure valition

• Registration Number: NCT05241483
• Lead Sponsor: Setint AI Robotic Sistem Egitim ve Danısmanlık San. Tic. A.S.

Brief Summary

Remote patient monitoring and detection of possible diseases with Artificial Intelligence Telemedicine System

Detailed Description

Possible disease detection with artificial intelligence from the patient's vital values possible disease detection from the patient's examination records

Study Timeline

• Study Start: 2020-03-30
• Primary Completion: 2021-07-20
• Study First Submitted: 2022-02-03
• Study First Submitted QC: 2022-02-05
• Study First Posted: 2022-02-15
• Status Verified: 2022-03
• Last Update Submitted: 2022-03-03
• Last Update Posted: 2022-03-07
• Study Completion: 2022-12-30

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 1000

Inclusion Criteria

• No Eligibility Criteria

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Exclusion Criteria

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Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
fever	mesure valition	Remote patient monitoring. fever values recorded by the patient in the system. Validation of pre-diagnosis results of AI systems to detect fever-related diseases.
pulse	mesure valition	Remote patient monitoring. pulse values recorded by the patient in the system. Validation of pre-diagnosis results of AI systems to detect fever-related diseases.
oxygen saturation	mesure valition	Remote patient monitoring. oxygen saturationvalues recorded by the patient in the system. Validation of pre-diagnosis results of AI systems to detect fever-related diseases.
glucose	mesure valition	Remote patient monitoring. glucose values recorded by the patient in the system. Validation of pre-diagnosis results of AI systems to detect fever-related diseases.
blood pressure	mesure valition	Remote patient monitoring. Blood pressure values recorded by the patient in the system. Validation of pre-diagnosis results of AI systems to detect fever-related diseases.

Primary Outcome Measures

Name	Time	Method
Patient symptoms and disease confirmation	May - October 2021	Her physician's patient symptom data were successfully matched to ICD-10 and other disease codes using the AI model.

Trial Locations

Locations (1)

Setint Ai; 🇹🇷 Düzce, Turkey