Various diseases/conditions requiring elective surgery
Conditions
Interventions
Gold Standard:In this study, all enrolled patients will undergo routine preoperative assessment by qualified anesthesiologists. The patients' hospitalization information and the comprehensive data obt
Index test:Three AI Models (ChatGPT-4, Deepseek, Gemini) in Predicting the ASA Physical Status Classification.
Sponsors
The Affiliated Hospital of West Anhui Health Vocational College
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: Patients scheduled for elective surgery with an ASA score of I to IV requiring anesthesia
Exclusion criteria
Exclusion criteria: 1. Critically ill patients with ASA V and VI classifications; 2. Patients requiring emergency surgery; 3. Patients with insufficient information.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The accuracy rates of ASA classification for patients by three large language models: ChatGPT-4, Deepseek, and Gemin; | — |
Secondary
| Measure | Time frame |
|---|---|
| Accuracy of Optimal Model Portfolio in Critical Condition Identification Task;The GPT model exhibited an error rate of overclassifying ASA II cases as ASA III cases.;Sensitivity;Specificity; | — |
Countries
China
Contacts
Public ContactMin Zhou
The Affiliated Hospital of West Anhui Health Vocational College
Outcome results
None listed