Blood GasesNCT06456866
Assessing the Accuracy of ChatGPT-4 in Interpreting Arterial Blood Gas Results
An observational study of Blood Gases, run by Kanuni Sultan Suleyman Training and Research Hospital at 1 site in Turkey (Türkiye).
Trial summary
Assessment of Acidosis and Alkalosis, Evaluation of Hypoxemia and Hyperoxemia, Evaluation of Hemoglobin Parameters, Assessment of Electrolytes, Evaluation of Metabolic Parameters (Glucose, Lactate, Bilirubin) Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Blood Gases
- What is being tested?
- interpretation
- How many people
- 398 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 14 Jun 2024to 2 Dec 2024
- 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 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: A minimum of 398 arterial blood gas samples from patients in the intensive care unit will be included in the study
Who may be able to join
- Patients aged 18 and above will be included in the study.
- The study will evaluate arterial blood gas results.
Who cannot join
- Venous blood gas results,
- Blood gas results with calibration errors,
- Blood gas results with incomplete data
Trial locations and contacts
1 site in 1 country.
Turkey (Türkiye)1 site
Health Science University İstanbul Kanuni Sultan Süleyman Education and Training Hospital
Istanbul, 34303
About this study
Assessment of Acidosis and Alkalosis, Evaluation of Hypoxemia and Hyperoxemia, Evaluation of Hemoglobin Parameters, Assessment of Electrolytes, Evaluation of Metabolic Parameters (Glucose, Lactate, Bilirubin)
Read the detailed description
Model Training:
The collected data will be used to train the artificial intelligence model. Utilizing the deep learning infrastructure provided by ChatGPT Plus, our model will be optimized to produce highly accurate results in interpreting blood gases.
During the training process, our model will be taught to interpret various blood gas samples, including assessments of acidosis-alkalosis, hypoxemia-hyperoxemia, hemoglobin, electrolytes, and metabolic parameters.
Model Testing and Validation:
The trained model will be tested on previously unseen test datasets to evaluate its performance. This step is crucial for understanding how the model will perform in real-world scenarios.
The accuracy of the model will be assessed by comparing its interpretations with feedback provided by expert anesthesiologists.
Furthermore, to comprehensively evaluate ChatGPT's effectiveness in this domain, the daily arterial blood gas results obtained in the intensive care unit will be submitted to ChatGPT for interpretation. The same questions will be posed, and the responses will be evaluated by an anesthesiology and reanimation specialist. These questions will be asked to the model:
Assessment of Acidosis and Alkalosis, Evaluation of Hypoxemia and Hyperoxemia, Evaluation of Hemoglobin Parameters, Assessment of Electrolytes, Evaluation of Metabolic Parameters (Glucose, Lactate, Bilirubin)
- Conditions
- Blood Gases
- Being tested
- interpretation
- Keywords
- artificial intelligence
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
interpretationOther
interpretation of blood gases samples
| Study group | Role | What they receive |
|---|---|---|
| ChatGPT | Not described Receives: Other: interpretation | |
| Anesthesiology expert | Not described Receives: Other: interpretation |
What is being measured
The primary outcome is the main question the study is designed to answer.
blood gases sample interpretation
Measured: 10 minutes
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted13 Jun 2024
- Study start14 Jun 2024
- Primary completion1 Dec 2024
- Study completion2 Dec 2024
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Blood GasesStudies 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 only
- Time perspective
- Prospective
- Enrolment
- 398 participants (actual)
Sponsor and investigators
- Lead sponsor
- Kanuni Sultan Suleyman Training and Research Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Engin Ihsan Turan, Kanuni Sultan Suleyman Training and Research Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06456866
- Sponsor's protocol ID
- Blood gases
- Status last verified
- Jan 2025
- First submitted
- 8 Jun 2024
- Last updated
- 22 Jan 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: there will be no IPD in this research. The investigators will only use blood gases samples and delete all the IPD.
Publications
Turan EI, Baydemir AE, Balitatli AB, Sahin AS. Assessing the accuracy of ChatGPT in interpreting blood gas analysis results ChatGPT-4 in blood gas analysis. J Clin Anesth. 2025 Mar;102:111787. doi: 10.1016/j.jclinane.2025.111787. Epub 2025 Feb 21.
PubMed 39986120
Study at a glance
From the registry record, last updated by the sponsor on 22 Jan 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Assessing the Accuracy of ChatGPT-4 in Interpreting Arterial Blood Gas Results
- ClinicalTrials.gov ID
- NCT06456866
- Acronym / sponsor ID
- Blood gases
- Conditions
- Blood Gases
- Keywords
- artificial intelligence
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 398 participants (actual)
- Lead sponsor
- Kanuni Sultan Suleyman Training and Research HospitalUniversity, hospital or other
- Study start
- 14 Jun 2024 (actual)
- Primary completion
- 1 Dec 2024 (actual)
- Study completion
- 2 Dec 2024 (actual)
- First posted
- 13 Jun 2024 (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.
Assessment of Acidosis and Alkalosis, Evaluation of Hypoxemia and Hyperoxemia, Evaluation of Hemoglobin Parameters, Assessment of Electrolytes, Evaluation of Metabolic Parameters (Glucose, Lactate, Bilirubin)
Detailed description
Model Training:
The collected data will be used to train the artificial intelligence model. Utilizing the deep learning infrastructure provided by ChatGPT Plus, our model will be optimized to produce highly accurate results in interpreting blood gases.
During the training process, our model will be taught to interpret various blood gas samples, including assessments of acidosis-alkalosis, hypoxemia-hyperoxemia, hemoglobin, electrolytes, and metabolic parameters.
Model Testing and Validation:
The trained model will be tested on previously unseen test datasets to evaluate its performance. This step is crucial for understanding how the model will perform in real-world scenarios.
The accuracy of the model will be assessed by comparing its interpretations with feedback provided by expert anesthesiologists.
Furthermore, to comprehensively evaluate ChatGPT's effectiveness in this domain, the daily arterial blood gas results obtained in the intensive care unit will be submitted to ChatGPT for interpretation. The same questions will be posed, and the responses will be evaluated by an anesthesiology and reanimation specialist. These questions will be asked to the model:
Assessment of Acidosis and Alkalosis, Evaluation of Hypoxemia and Hyperoxemia, Evaluation of Hemoglobin Parameters, Assessment of Electrolytes, Evaluation of Metabolic Parameters (Glucose, Lactate, Bilirubin)
Study design
- Observational model
- Case only
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| ChatGPT | – | Other: interpretation |
| Anesthesiology expert | – | Other: interpretation |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- A minimum of 398 arterial blood gas samples from patients in the intensive care unit will be included in the study
Key inclusion criteria (2 listed)
- Patients aged 18 and above will be included in the study.
- The study will evaluate arterial blood gas results.
Key exclusion criteria (3 listed)
- Venous blood gas results,
- Blood gas results with calibration errors,
- Blood gas results with incomplete data
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 |
|---|---|---|
| interpretationinterpretation of blood gases samples | Other | Anesthesiology expert, ChatGPT |
Primary outcome
blood gases sample interpretation
Time frame: 10 minutes
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 22 Jan 2025.
- Derived from this study: PubMed 39986120Turan EI, Baydemir AE, Balitatli AB, Sahin AS. Assessing the accuracy of ChatGPT in interpreting blood gas analysis results ChatGPT-4 in blood gas analysis. J Clin Anesth. 2025 Mar;102:111787. doi: 10.1016/j.jclinane.2025.111787. Epub 2025 Feb 21.
- Individual participant dataSharing planned: No. there will be no IPD in this research. The investigators will only use blood gases samples and delete all the IPD.
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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.
The record lists no contact. Use the official record to reach the sponsor.
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 Blood Gases, run by Kanuni Sultan Suleyman Training and Research Hospital 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 2 inclusion and 3 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: finished, as of the sponsor's last update on 22 Jan 2025. 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?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
blood gases sample interpretation (time frame: 10 minutes). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06456866, which also lists 1 linked publication.
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 22 Jan 2025.