Research & Development

Medical AI Projects & Platforms

A portfolio of AI systems designed for healthcare, biotechnology, and intelligent decision-making applications. Each project integrates medical domain expertise with rigorous engineering practices.

Active Projects 4
Technology Domains 4
Clinical Domains 3+
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01
Active Development

EboHealth — AI Medical Assistant Platform

AI-powered medical assistant platform for clinicians and individuals, supporting evidence-based decision-making, clinical workflows, and personal health record management.

Overview

EboHealth is an AI-powered medical assistant platform designed to support both clinicians and the general public. It provides evidence-based medical insights, assists with clinical workflows, and enables secure management of personal health records through conversational AI.

The platform integrates trusted medical knowledge sources and advanced AI models to improve efficiency, decision quality, and accessibility in healthcare.

Clinic Version (Professional Use)

The Clinic Version of EboHealth supports daily medical practice by reducing documentation workload and assisting clinical decision-making. The system continuously analyzes doctor-patient conversations and provides real-time support during consultations.

AI-Powered Triage

Patient case prioritization to streamline clinical workflow.

Dictation & Transcription

Clinical documentation support to reduce administrative burden.

Automated SOAP Notes

Structured clinical note generation from doctor-patient conversations.

Next Best Questions

Suggestions for follow-up clinical questions and top possible diagnoses.

Medical Knowledge Integration

Knowledge Sources

  • Merck Manuals
  • Health Canada Drug Bank
  • PubMed

Research Collaboration

Developed in collaboration with a research team at McGill University, the platform includes disease risk prediction models to anticipate potential future conditions and support preventive care planning.

Personal Version (Individual Use)

The Personal Version of EboHealth provides individuals with an AI assistant that simulates doctor-patient interactions to deliver personalized health guidance. Users can securely store and access their personal health records while receiving tailored insights.

Conversational AI Health Assistant

Interactive AI that simulates doctor-patient interactions for personalized guidance.

Secure Health Record Storage

Encrypted personal health record management for secure storage and retrieval.

Health History Tracking

Comprehensive tracking of health history, symptoms, and medical events over time.

Personalized Health Reminders

Tailored health reminders and tips based on individual health data.

Technology Focus

Clinical AI Medical NLP Decision Support Secure Health Data
Live Demo: app.e-ai.ca Request Access
02
Research / Applied

AI-Based Venture Capital Decision-Making System

An AI-driven evaluation system that simulates expert decision workflows to support major scientific research and venture project assessments with explainable and auditable results.

Overview

This project is initiated by the Yangtze River Delta National Technology Innovation Center to support decision-making in major scientific research and venture capital project evaluations. It aims to improve evaluation efficiency, standardize assessment dimensions, and ensure fairness and rigor in decision-making.

Approach

The system is built on a Workflow + Multi-Agent + Large Language Model (LLM) architecture to simulate real expert evaluation processes. Standardized project inputs are verified through literature checks, team background validation, and independent due diligence on core technologies.

Key Characteristics

Explainable

Each conclusion is supported by explicit reasoning paths.

Traceable

Full evaluation chains and intermediate steps are recorded.

Auditable

Decisions can be reviewed and validated by experts.

Regulation-Compliant

Aligned with institutional review standards.

Technology Focus

LLM Workflows Multi-Agent Systems Explainable AI Decision Intelligence
Learn More
03
Research / Prototype

RAG-Based Online Genetic Report Consultation

A retrieval-augmented AI system that transforms complex genetic reports into accessible, personalized health insights through natural language interaction.

Overview

This project addresses the challenge of interpreting complex genetic testing reports for non-experts. Genetic data is often difficult to understand, leaving individuals uncertain about health risks or potential actions.

Core Idea

By enabling users to ask natural language questions about their genetic reports, the system converts complex genomic data into understandable, personalized health insights.

Impact

Accessible Reports

Makes genetic reports accessible to non-specialists through natural language.

Personalized Risk Interpretation

Enables personalized disease risk interpretation from individual genomic data.

Bridging Science & Health

Bridges genomic science and practical health decision-making for everyone.

Technology Focus

RAG (Retrieval-Augmented Generation) Genomics Medical NLP
Research Overview
04
Internal / Ongoing

Progenic IT System Modernization

Internal IT and data infrastructure modernization project focused on database systems, backend optimization, and reliable biomedical data management.

Overview

This project focuses on the modernization and maintenance of Progenic's internal IT systems and biomedical data infrastructure. It supports stable and secure operations through backend development and database system optimization.

Scope

SQL-Based Database Systems

Database management, optimization, and migration for biomedical data requirements.

Backend Infrastructure Optimization

Performance improvements, reliability enhancements, and scalability of backend systems.

Biomedical Data Management

Data integrity, reliability, and secure management of biomedical information.

Technology Focus

SQL Backend Systems Biomedical IT Infrastructure
Contact for Details

Collaborate on Medical AI Research

We partner with healthcare institutions and research organizations to develop and validate AI systems for clinical applications.

Research Collaboration View Technology