AiCE

The Artificial Intelligence Clinical Evaluation (AiCE) system streamlines the Clinical Evaluation Report (CER) process using advanced AI capabilities to conduct systematic literature reviews and reporting. It transforms the way clinical data is collected and analyzed, drawing from existing literature, clinical experience, and trials, ensuring improved relevance, applicability, quality, and significance of the data.

AiCE offers substantial enhancements in the CER process by automating literature screening, translation of sources, and highlighting crucial details, thus minimizing manual effort and bias while enhancing speed and accuracy. The component's efficiency extends to the adoption of a structured five-stage approach that covers search strategy, study selection, quality assessment, data synthesis, and data extraction.

Features

• User role-based access management with roles for managers, researchers, and quality analysts.
• Dashboard with reporting capabilities.
• AI-assisted literature pre-screening and workflow management.
• Device-specific configuration procedures within project settings.
• PICO entity recognition and research database integration.
• Article inclusion and exclusion criteria configuration.
• PRISMA chart support.

Benefits

• Reduction in opportunities for errors by 30%.
• Enhanced CER approval for each piece of equipment.
• Productivity improvements exceeding 30%.
• Quicker, regulation-aligned decision-making processes.

AiCE's cognitive capabilities enhance the overall productivity in evaluating clinical literature, reducing the time needed for manual content screening and significantly improving the alignment of CERs with regulatory requirements.