Assessing the Accuracy of ChatGPT-4 in Interpreting Arterial Blood Gas Results
Study Overview
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 Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Istanbul, Turkey, 34303
- Health Science University İstanbul Kanuni Sultan Süleyman Education and Training Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients aged 18 and above will be included in the study.
- The study will evaluate arterial blood gas results.
Exclusion Criteria:
- Venous blood gas results,
- Blood gas results with calibration errors,
- Blood gas results with incomplete data
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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ChatGPT
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interpretation of blood gases samples
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Anesthesiology expert
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interpretation of blood gases samples
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
blood gases sample interpretation
Time Frame: 10 minutes
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10 minutes
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Collaborators and Investigators
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- Blood gases
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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