ARTIFICIAL INTELLIGENCE CLINICAL EVALUATION (AiCE)
AiCE, an LTTS integrated AI tool, revolutionizes the Clinical Evaluation Report (CER) process by performing systematic review and reporting related to clinical literature, and additional databases that may be included in the CER.
AiCE simplifies the three-step clinical evaluation process:
- Consumer Software Manufacturers: Identify clinical data from existing literature, clinical experience, clinical trials, or any combination of the three.
- Enterprise Software: Appraisal of the data's relevance, applicability, quality, and significance.
- IOT Software: Articulation of the conclusions in the CER, based on the collected data.
AiCE's cognitive capabilities provide a near-perfect solution for literature search, improving the efficiency, cost-effectiveness, speed, and accuracy of CER research. The tool minimizes bias, allows for algorithm reuse and customization, auto-translates sources in other languages, and accelerates the process of literature selection and extraction, significantly decreasing the time taken for manually searching and filtering appropriate content. AiCE automatically screens literature and highlights crucial 2-3 sentences in different methods of screening.
To have a transparent and objective approach for this literature review, to the tool adopts a five-stage approach:
FEATURES
Ver. 1.0
User Management/Role-based access management
Roles – Manager, Researcher, Quality Analyst
Dashboard and Reports
Project Creation and Workflow Management
AI-assisted literature Pre-Screening
AiCE
Ver. 1.1
Provision to configure device-specific procedures in the project tab
Enable PICO entity recognition
Integrate with one more research database
Configure and select pre-set criteria for article inclusion and exclusion
Second pass screening on full-text articles
PRISMA chart
Benefits
