Predictive Value of TestsAI - diseasesNCT05241483
Remote Patient Monitoring and Detection of Possible Diseases With Artificial Intelligence Telemedicine System
An observational study of Predictive Value of Tests and Vital Signs, run by Setint AI Robotic Sistem Egitim ve Danısmanlık San. Tic. A.S. at 1 site in Turkey (Türkiye).
Trial summary
Remote patient monitoring and detection of possible diseases with Artificial Intelligence Telemedicine System Read more about this study
- Who is it for?
- Any ageHealthy volunteers can take part
- Conditions the study is for
- Predictive Value of Tests, Vital Signs, Laboratory Critical Values
- What is being tested?
- mesure valition
- How many people
- 1,000 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 30 Mar 2020to 30 Dec 2022
- How long will I take part?
- 9 Months
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Study population: Patients registered in the SETINT AI artificial intelligence Telemedicine system
Who may be able to join
- No Eligibility Criteria
Who cannot join
- -
Trial locations and contacts
1 site in 1 country.
Turkey (Türkiye)1 site, 1 recruiting
- Recruiting
Setint Ai
Düzce, 81620
Sezgin SEZER, +905374393466, setint@outlook.com
setintrd@gmail.com
About this study
Official title: SETİNT AI-Diseases
Remote patient monitoring and detection of possible diseases with Artificial Intelligence Telemedicine System
Read the detailed description
Possible disease detection with artificial intelligence from the patient's vital values possible disease detection from the patient's examination records
- Conditions
- Predictive Value of Tests, Vital Signs, Laboratory Critical Values, Relative Value Scales, Reference Values
- Being tested
- mesure valition
- Keywords
- test, laboratory, relative value, homecar, artificial intelligence
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
mesure valitionDiagnostic test
Also called doctor examination, patient complaints, patient symptoms, Vital values recorded by the patient in the system.
Possible diseases that may occur as a result of the patient's vital values with artificial intelligence systems
| Study group | Role | What they receive |
|---|---|---|
| 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. Receives: Diagnostic Test: mesure valition | |
| 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. Receives: Diagnostic Test: mesure valition | |
| 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. Receives: Diagnostic Test: mesure valition | |
| 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. Receives: Diagnostic Test: mesure valition | |
| 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. Receives: Diagnostic Test: mesure valition |
What is being measured
The primary outcome is the main question the study is designed to answer.
Patient symptoms and disease confirmation
Her physician's patient symptom data were successfully matched to ICD-10 and other disease codes using the AI model.
Measured: May - October 2021
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted15 Feb 2022
- Study start30 Mar 2020
- Primary completion20 Jul 2021
- Study completion30 Dec 2022 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Predictive Value of TestsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case-control
- Time perspective
- Prospective
- Enrolment
- 1,000 participants (estimated)
- Target duration
- 9 Months
Sponsor and investigators
- Lead sponsor
- Setint AI Robotic Sistem Egitim ve Danısmanlık San. Tic. A.S.
- Sponsor type
- Other government
- Responsible party
- Principal investigator, Sezgin SEZER, Setint AI Robotic Sistem Egitim ve Danısmanlık San. Tic. A.S.
- Investigators
- Aykut COŞKUN, MD, Principal investigator, SETINT AI Robotic Sistem Eğitim ve Danışmanlık San.Tic.A.Ş.İsmail ÇELİK, MD, Principal investigator, SETINT AI Robotic Sistem Eğitim ve Danışmanlık San.Tic.A.Ş.
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05241483
- Sponsor's protocol ID
- SETİNT-AI-TURKEY
- Acronym
- AI - diseases
- Status last verified
- Mar 2022
- First submitted
- 3 Feb 2022
- Last updated
- 7 Mar 2022
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 7 Mar 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- SETİNT AI-Diseases
- ClinicalTrials.gov ID
- NCT05241483
- Acronym / sponsor ID
- AI - diseases / SETİNT-AI-TURKEY
- Conditions
- Predictive Value of Tests, Vital Signs, Laboratory Critical Values, Relative Value Scales, Reference Values
- Keywords
- test, laboratory, relative value, homecar, artificial intelligence
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 1,000 participants (estimated)
- Lead sponsor
- Setint AI Robotic Sistem Egitim ve Danısmanlık San. Tic. A.S.Other government
- Study start
- 30 Mar 2020 (actual)
- Primary completion
- 20 Jul 2021 (actual)
- Study completion
- 30 Dec 2022 (estimated)
- First posted
- 15 Feb 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Observational model
- Case-control
- Time perspective
- Prospective
- Target follow-up
- 9 Months
- Number of arms
- 5
| Arm | Type | Receives |
|---|---|---|
| fever | – | Diagnostic Test: mesure valitionRemote 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 | – | Diagnostic Test: mesure valitionRemote patient monitoring. pulse values recorded by the patient in the system. Validation of pre-diagnosis results of AI systems to detect fever-related diseases. |
| blood pressure | – | Diagnostic Test: mesure valitionRemote 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. |
| oxygen saturation | – | Diagnostic Test: mesure valitionRemote 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 | – | Diagnostic Test: mesure valitionRemote patient monitoring. glucose values recorded by the patient in the system. Validation of pre-diagnosis results of AI systems to detect fever-related diseases. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
- Study population
- Patients registered in the SETINT AI artificial intelligence Telemedicine system
Key inclusion criteria (1 listed)
- No Eligibility Criteria
Key exclusion criteria (1 listed)
- -
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| mesure valitionAlso: doctor examination, patient complaints, patient symptoms, Vital values recorded by the patient in the system.Possible diseases that may occur as a result of the patient's vital values with artificial intelligence systems | Diagnostic test | blood pressure, fever, glucose, oxygen saturation, pulse |
Primary outcome
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.
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 7 Mar 2022.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Aykut COŞKUN, MD principal investigator
SETINT AI Robotic Sistem Eğitim ve Danışmanlık San.Tic.A.Ş.
İsmail ÇELİK, MD principal investigator
SETINT AI Robotic Sistem Eğitim ve Danışmanlık San.Tic.A.Ş.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Predictive Value of Tests and Vital Signs, run by Setint AI Robotic Sistem Egitim ve Danısmanlık San. Tic. A.S. at 1 site in Turkey (Türkiye).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 7 Mar 2022. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Turkey (Türkiye). Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Sezgin SEZER (+905374393466, setint@outlook.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Patient symptoms and disease confirmation (time frame: May - October 2021). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 7 Mar 2022; AzTrials last refreshed its copy on 8 Nov 2026.