Zhaoxia Huang, Xue Xu, Wenhui Cheng
Deep Learning-Based Health Management Model Application in Extreme Myopia Eye Vision Monitoring and Risk Prediction
Journal of oncology
rise emergency department presentations globally poses challenges efficient patient management address various strategies aim expedite patient management artificial intelligences ai consistent performance rapid data interpretation extend healthcare applications especially emergencies introduction robust ai tool like chatgpt based gpt4 developed openai benefit patients healthcare professionals improving speed accuracy resource allocation study examines chatgpts capability predict triage outcomes based local emergency department rules study singlecenter prospective observational study study population consists patients presented emergency department symptoms agreed participate study conducted three nonconsecutive days total 72 h patients chief complaints vital parameters medical history area directed triage team emergency department recorded concurrently emergency medicine physician inputted data previously trained gpt4 according local rules according data triage decisions made gpt4 recorded process emergency medicine specialist determined patient directed based data collected decision considered gold standard accuracy rates reliability directing patients specific areas triage team gpt4 evaluated using cohens kappa test furthermore accuracy patient triage process performed triage team gpt4 assessed receiver operating characteristic roc analysis statistical analysis considered value p 005 significant study carried 758 patients among participants 416 549 male 342 451 female evaluating primary endpoints study agreement decisions triage team gpt4 decisions emergency department triage gold standard observed almost perfect agreement triage team gold standard gpt4 gold standard cohens kappa 0893 0899 respectively p 0001 findings suggest gpt4 possess outstanding predictive skills triaging patients emergency setting gpt4 serve effective tool support triage process