Artificial Intelligence Clinical Trial
— ASAOfficial title:
The Success of ChatGPT in Providing American Society of Anesthesiologist (ASA) Scores
Verified date | May 2024 |
Source | Kanuni Sultan Suleyman Training and Research Hospital |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational [Patient Registry] |
Patients applied to the anesthesia clinics of Health Science University Istanbul Kanuni Sultan Suleyman Training and Research Hospital and Basaksehir Cam and Sakura City Hospital were included in the study. Evaluation forms which will be filled in every preoperative examinations will be saved in the hospitals systems. Patients datas without indentification informations will be asked to ChatGpt to give anesthesiological risc scores. This scores will be compared with the scores already given by anesthesiologists.
Status | Completed |
Enrollment | 2851 |
Est. completion date | May 1, 2024 |
Est. primary completion date | April 1, 2024 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | N/A and older |
Eligibility | Inclusion Criteria: - Patient who admitted to anesthesia clinics for both hospital - Patient with ASA scores between I-IV Exclusion Criteria: - ASA scores higher than IV - Emergency cases patients have symptoms like upper and lower airway infections. - patients haven't got enough informations to provide ASA scores. - Patients with symptoms of an active upper or lower respiratory tract infection |
Country | Name | City | State |
---|---|---|---|
Turkey | Health Science University Istanbul Kanuni Sultan Süleyman Education and Training Hospital | Istanbul |
Lead Sponsor | Collaborator |
---|---|
Kanuni Sultan Suleyman Training and Research Hospital |
Turkey,
Wongtangman K, Aasman B, Garg S, Witt AS, Harandi AA, Azimaraghi O, Mirhaji P, Soby S, Anand P, Himes CP, Smith RV, Santer P, Freda J, Eikermann M, Ramaswamy P. Development and validation of a machine learning ASA-score to identify candidates for comprehe — View Citation
Yeo YH, Samaan JS, Ng WH, Ting PS, Trivedi H, Vipani A, Ayoub W, Yang JD, Liran O, Spiegel B, Kuo A. Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma. Clin Mol Hepatol. 2023 Jul;29(3):721-732. do — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | The Success of ChatGPT in Providing American Society of Anesthesiologist (ASA) Scores | Comparison of ASA scores provided from ChatGpt and provided from anesthesiologists.
ASA 1: A normal healthy patient. ASA 2: A patient with mild systemic disease. ASA 3: A patient with severe systemic disease that is not incapacitating. ASA 4: A patient with severe systemic disease that is a constant threat to life. ASA 5: A moribund patient who is not expected to survive without the operation. ASA 6: A declared brain-dead patient whose organs are being removed for donor purposes. Additional classifications include: E: This designation can be added to any of the above classifications (ASA 1E to ASA 6E) to indicate that the surgery is an emergency, which increases the risk of the procedure. |
2 weeks | |
Secondary | The Success of ChatGPT in clinical decisions | Comparison of ASA scores provided from ChatGpt and provided from anesthesiologists.
ASA 1: A normal healthy patient. ASA 2: A patient with mild systemic disease. ASA 3: A patient with severe systemic disease that is not incapacitating. ASA 4: A patient with severe systemic disease that is a constant threat to life. ASA 5: A moribund patient who is not expected to survive without the operation. ASA 6: A declared brain-dead patient whose organs are being removed for donor purposes. Additional classifications include: E: This designation can be added to any of the above classifications (ASA 1E to ASA 6E) to indicate that the surgery is an emergency, which increases the risk of the procedure. |
2 weeks |
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