Remote Patient Monitoring and Detection of Possible Diseases With Artificial Intelligence Telemedicine System (AI - diseases)

March 3, 2022 updated by: Sezgin SEZER, Setint AI Robotic Sistem Egitim ve Danısmanlık San. Tic. A.S.

SETİNT AI-Diseases

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

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

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

Study Type

Observational

Enrollment (Anticipated)

1000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

  • Turkey
      • Düzce, Turkey, 81620
        • Recruiting
        • Setint Ai
        • Contact:
        • Contact:
        • Principal Investigator:
          • Sezgin SEZER
        • Sub-Investigator:
          • Olgar ATASEVEN
        • Sub-Investigator:
          • Aykut COŞKUN, MD
        • Sub-Investigator:
          • İsmail ÇELİK, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • ADULT
  • OLDER_ADULT
  • CHILD

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Patients registered in the SETINT AI artificial intelligence Telemedicine system

Description

Inclusion Criteria:

  • No Eligibility Criteria

Exclusion Criteria:

-

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
fever
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.
Diagnostic test: mesure valition
Possible diseases that may occur as a result of the patient's vital values with artificial intelligence systems
Other Names:
  • doctor examination
  • patient complaints
  • patient symptoms
  • Vital values recorded by the patient in the system.
pulse
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.
Diagnostic test: mesure valition
Possible diseases that may occur as a result of the patient's vital values with artificial intelligence systems
Other Names:
  • doctor examination
  • patient complaints
  • patient symptoms
  • Vital values recorded by the patient in the system.
blood pressure
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.
Diagnostic test: mesure valition
Possible diseases that may occur as a result of the patient's vital values with artificial intelligence systems
Other Names:
  • doctor examination
  • patient complaints
  • patient symptoms
  • Vital values recorded by the patient in the system.
oxygen saturation
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.
Diagnostic test: mesure valition
Possible diseases that may occur as a result of the patient's vital values with artificial intelligence systems
Other Names:
  • doctor examination
  • patient complaints
  • patient symptoms
  • Vital values recorded by the patient in the system.
glucose
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.
Diagnostic test: mesure valition
Possible diseases that may occur as a result of the patient's vital values with artificial intelligence systems
Other Names:
  • doctor examination
  • patient complaints
  • patient symptoms
  • Vital values recorded by the patient in the system.

What is the study measuring?

Primary Outcome Measures

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

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Setint AI Robotic Sistem Egitim ve Danısmanlık San. Tic. A.S.

Investigators

  • Principal Investigator: Aykut COŞKUN, MD, SETINT AI Robotic Sistem Eğitim ve Danışmanlık San.Tic.A.Ş.
  • Principal Investigator: İsmail ÇELİK, MD, SETINT AI Robotic Sistem Eğitim ve Danışmanlık San.Tic.A.Ş.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

March 30, 2020

Primary Completion (ACTUAL)

July 20, 2021

Study Completion (ANTICIPATED)

December 30, 2022

Study Registration Dates

First Submitted

February 3, 2022

First Submitted That Met QC Criteria

February 5, 2022

First Posted (ACTUAL)

February 15, 2022

Study Record Updates

Last Update Posted (ACTUAL)

March 7, 2022

Last Update Submitted That Met QC Criteria

March 3, 2022

Last Verified

March 1, 2022

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • SETİNT-AI-TURKEY

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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