In the context of high-risk, nonspecific conditions like pediatric sepsis, using AI as a clinical decision-support tool may be challenging due to high variability and uncertainty in clinical sings and symptoms. Globally, healthcare systems lack consistent standardized rules and procedures for pediatric sepsis, hindering AI performance and introducing ethical issues if relied on uncritically. An ecological approach to system design that guides both clinicians and AI in decision-making is crucial.
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Researchers are conducting a study to see if experts in important jobs, like doctors and military personnel, can make better decisions alongside data-driven predictions from artificial intelligence (AI).
Our research team is developing an AI-based clinical decision support system (AI-CDSS) for hypertension management.