The project uses AI to evaluate medical exams with precision, reducing errors. It is based on AWS, OpenAI, and Serverless in the cloud.

Virtual AI agent for optimizing health evaluations

Virtual AI agent for optimizing health evaluations

Industria
Health (HealthTech)
Escenario
Artificial Intelligence
Cliente
Health Regulatory Entity

The project involves integrating AI agents to perform automated evaluations of medical exams in the healthcare sector, to improve accuracy and reduce errors. The agents are configured to conduct analysis, compare the input against regulations, and generate recommendations. The framework was built using technologies such as AWS, Crude AI, OpenAI, and REST APIs. The system is deployed in the cloud and managed using a serverless framework.

Technologies

Infrastructure:

AWS Lambda (functions for performing automated evaluations), API Gateway (to expose the APIs), Elastic Container Repository (ECR) (storage and execution of containers)

CI/CD and Deployment:

OpenAI LLM (for processing medical and financial data), Crude AI (for defining agents and tasks)

CICD y Despliegue:

Serverless Framework

Range of services

Development and integration of AI agents for automated evaluations of medical exams and financial data

Improvement of accuracy and efficiency in analysis using AI

Deployment and management of the system via Serverless Framework in the cloud

Expansion of agents to other sectors and enhancement of the Client´s platform as a SaaS

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caso de éxito - gp

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