Cardio AI Powered Cardiology is an innovative multi-agent system designed to transform cardiovascular healthcare through intelligent automation, collaborative AI, and seamless data integration. Leveraging a robust Agent-to-Agent (A2A) communication protocol and the Model Context Protocol (MCP), the platform enables a network of specialized AI agents to work in concert, providing comprehensive support across the patient care journey.
Utilizes a custom A2A protocol and the Model Context
Protocol (MCP) for standardized, efficient, and flexible communication between agents, tools, and
resources, enabling complex workflows and collaborative intelligence.
Manages complex inter-agent workflows to handle user requests,
dynamically determine necessary steps, assign tasks to relevant agents, monitor progress, and
aggregate results.
Incorporates capabilities for data encryption (at rest and in transit),
robust access controls (including role-based access), detailed audit trails and logging, and
preliminary frameworks for incident response and third-party risk management, with a focus on
aligning with healthcare compliance standards (HIPAA, GDPR, SOC 2).
Integrates with the Langchain framework to leverage large
language models (LLMs) for sophisticated data processing, analysis, summarization, and workflow
execution within agents.
Facilitates a coordinated diagnostic process by gathering
data from multiple agents, integrating findings, determining diagnoses, assessing risk, and
generating personalized treatment recommendations, including pharmacogenomic
considerations based on genetic data.
Manages and provides access to up-to-date clinical guidelines
from key organizations (AHA, ACC, ESC, WHO) to inform diagnostic and treatment processes.
