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Validation of Ai-powered Clinical Decision Support Systems in Diagnostic Accuracy: a Multi-center Prospective Study

Year: 2024

Type: article

Abstract: The validation of Artificial Intelligence (AI)-powered Clinical Decision Support Systems (CDSS) is critical in improving diagnostic accuracy, time efficiency, and healthcare resource utilization. This multi-center prospective study evaluates the diagnostic performance of the DoctorAssist.AI CDSS engine compared to traditional diagnostic approaches. Data collected from participating centers were analyzed for metrics including diagnostic accuracy, time-to-diagnosis, and resource utilization. Results demonstrate a significant enhancement in diagnostic precision and efficiency when using AI assistance, highlighting its clinical utility and alignment with regulatory standards for broader adoption.

Source: Journal of Population Therapeutics and Clinical Pharmacology

DOI: 10.53555/cad06b83

Author: Abilash Raghunandanan

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4404616017

FWCI: 0.082

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Cited by: 1

Related to: 10