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Design of an AI Support for Diagnosis of Dyspneic Adults at Time of Triage in the Emergency Department
- Publication Year :
- 2023
-
Abstract
- We created an AI support for diagnosis in dyspneic adults at time of triage in the emergency department.Complete data from an entire regional health care system was analyzed, to find AI-derived, unknown, important diagnostic predictors. Most important were prior diagnoses of heart failure or COPD, daily smoking, atrial fibrillation/flutter, life difficulties and maternal care.Sensitivity for AHF, eCOPD and pneumonia was 75%, 93%, and 54%, respectively, with a specificity above 75%. Each patient visit received an individual graph with the AI´s underlying decision basis.
Details
- Database :
- OAIster
- Notes :
- Tolestam Heyman, Ellen, Ashfaq, Awais, Ekelund, Ulf, Ohlsson, Mattias, Björk, Jonas, Khoshnood, Ardavan M., Lingman, Markus
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1409351243
- Document Type :
- Electronic Resource