Ignite Creation Date:
2024-05-06 @ 8:17 PM
Last Modification Date:
2024-10-26 @ 3:24 PM
Study NCT ID:
NCT06321445
Status:
COMPLETED
Last Update Posted:
2024-05-06
First Post:
2024-03-11
Brief Title:
The Success of ChatGPT in Providing American Society of Anesthesiologist ASA Scores
Sponsor:
Kanuni Sultan Suleyman Training and Research Hospital
Organization:
Kanuni Sultan Suleyman Training and Research Hospital
Study Overview
Official Title:
The Success of ChatGPT in Providing American Society of Anesthesiologist ASA Scores
Status:
COMPLETED
Status Verified Date:
2024-05
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
ASA
Brief Summary:
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
Detailed Description:
Patients of all ages and sexes with ASA scores ranging from I to IV who 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 Patients with ASA scores of V and VI were not included in the study as their statistical distribution would be disrupted
Data Collection Data were collected daily from preoperative examination evaluation forms in this study which included Patients Age Patients Gender Patients Weight Patients Height Additional Illnesses Medications Used Abnormal Laboratory Findings Abnormal Imaging Findings Operation to be Performed Consultation Notes Given ASA Score ChatGPTs ASA Score At Health Science University Istanbul Kanuni Sultan Suleyman Training and Research Hospita the patient will be under the care of Specialist Doctor Engin İhsan Turan and at Basaksehir Cam and Sakura City Hospital under the care of Specialist Doctor Abdurrahman Engin Baydemir
The natural language processing module ChatGPT 4 developed by OpenAI was consulted for providing ASA scores based on the collected data In addition to the collected data ASA scores given by anesthesia experts were also entered into the system
The investigators chose ChatGPT-4 among artificial intelligence models for our study due to its extensive use in the literature
Primary Objective To evaluate the success of ChatGPT-4 in predicting postoperative intensive care needs and mortality in adult patients with ASA scores of III and IV Secondary Objectives To examine the effectiveness of ChatGPT-4s recommendations on anesthesia methods and additional suggestions in the clinical decision-making process
Benefits Understanding the contributions of artificial intelligence-based systems to clinical decision-making processes
Risks The potential for ChatGPT-4s recommendations to be misleading but the risk will be mitigated by doctors being the final decision-makers
Use of ChatGPT 4 After the data mentioned above regarding the patients were transmitted to ChatGPT 4 ChatGPT 4 was asked to predict the ASA scores of the patients To do so the investigators will create a special GPT which can provide ASA scores according to the newest guidelines This GPT will assign patients an ASA score based on abnormal data while recognizing that the patients other results and physical examination findings are normal
Data Collection Data were collected daily from preoperative examination evaluation forms in this study which included Patients Age Patients Gender Patients Weight Patients Height Additional Illnesses Medications Used Abnormal Laboratory Findings Abnormal Imaging Findings Operation to be Performed Consultation Notes Given ASA Score ChatGPTs ASA Score At Health Science University Istanbul Kanuni Sultan Suleyman Training and Research Hospita the patient will be under the care of Specialist Doctor Engin İhsan Turan and at Basaksehir Cam and Sakura City Hospital under the care of Specialist Doctor Abdurrahman Engin Baydemir
The natural language processing module ChatGPT 4 developed by OpenAI was consulted for providing ASA scores based on the collected data In addition to the collected data ASA scores given by anesthesia experts were also entered into the system
The investigators chose ChatGPT-4 among artificial intelligence models for our study due to its extensive use in the literature
Primary Objective To evaluate the success of ChatGPT-4 in predicting postoperative intensive care needs and mortality in adult patients with ASA scores of III and IV Secondary Objectives To examine the effectiveness of ChatGPT-4s recommendations on anesthesia methods and additional suggestions in the clinical decision-making process
Benefits Understanding the contributions of artificial intelligence-based systems to clinical decision-making processes
Risks The potential for ChatGPT-4s recommendations to be misleading but the risk will be mitigated by doctors being the final decision-makers
Use of ChatGPT 4 After the data mentioned above regarding the patients were transmitted to ChatGPT 4 ChatGPT 4 was asked to predict the ASA scores of the patients To do so the investigators will create a special GPT which can provide ASA scores according to the newest guidelines This GPT will assign patients an ASA score based on abnormal data while recognizing that the patients other results and physical examination findings are normal
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None