CDSS (Clinical Decision Support System) is one of the objectives of the ari, the purpose is to demonstrate how to develop AI and turn it into practical SaaS (software as a service) application software.
During the development of AI model, CDSS provides data analysis and statistics. When the data is imbalanced, AI learning will be inaccurate. Therefore, the data sorting in advance will greatly affect the final result. The ready-made AI model must be improved through a large number of test data to be perfect. Through CDSS, you will be able to understand the maturity of the model and the areas that need to be improved without looking at the code. The visual analysis tools and intuitive interactive interface allow you to more easily decide whether to completely hand over the model improvement process to the built-in automl system, or modify the algorithm to produce AI models that meet your own needs. In short, ari's CDSS is a diagnostic auxiliary function that integrates AI model training, data analysis, and even directly uses the developed AI analysis model to determine the positive and negative of the disease, as well as the estimation of the incidence rate.
Accelerate medical education and training
Reduce doctor workload and patient waiting time
Provide accurate and real-time information to assist doctors in decision making
Comprehensive treatment and clinical guidelines to ensure the safety and quality of patient care
The modified and trained AI model can be deployed directly
Improve reliability with interpretable models, making AI no longer a black box
Collaboration with data scientists, combined with Know-How for terminal application requirements
Intuitive graphical user interface, simplifying complexity
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