Skin test for beta-lactam antibiotics
Conditions
Interventions
Gold Standard:The gold standard was the double reading of ß-lactam antibiotic skin test results by two qualified clinical nurses. In case of disagreement, a senior nurse provided adjudication. The fin
Index test:The index test was an artificial intelligence–assisted diagnostic model based on convolutional neural networks (CNN, ResNet50 backbone), which automatically classified ß-lactam antibiotic s
Sponsors
Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1.Patients undergoing skin tests for beta-lactam antibiotics in the emergency department. 2.Volunteer to participate in the study and sign the informed consent. If the subject is unable to read and sign due to incapacity or other reasons Informed consent, or if the subject is a minor, the guardian must represent the informed process and sign the informed consent. If the subject does not have the ability to read the informed consent form (e.g., illiterate subjects), the informed process must be witnessed and signed by a witness Informed consent.
Exclusion criteria
Exclusion criteria: 1. Subjects voluntarily withdrew from the study.2.The investigator believes that the subjects are not suitable to participate in this study.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Skin test outcome;Model Evaluation Metrics (such as accuracy, precision, F1 score, etc.); | — |
Countries
China
Contacts
Public ContactPan Hongying
Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University
Outcome results
None listed