Documentation

Professional Medical Research Platform

Platform Overview

MedResearch AI Platform is a comprehensive medical research intelligence system designed specifically for healthcare professionals conducting serious medical research. The platform combines advanced AI capabilities with evidence-based methodologies to accelerate and enhance the quality of medical research.

Medical AI Intelligence

Advanced AI analysis of medical documents, literature synthesis, and evidence-based recommendations with clinical relevance scoring.

Collaborative Research

Real-time collaborative authoring environment with version control, citation management, and publication-ready outputs.

Key Capabilities

  • Literature analysis with AI-powered insights and evidence quality assessment
  • Medical document processing with clinical significance evaluation
  • Proactive research suggestions based on document context and specialty
  • Case study generation from multiple medical files with publication potential
  • Professional research authoring with citation management and collaboration

Getting Started

Step 1: Platform Access

Navigate to the platform and complete the medical professional verification process. Set up your research profile with relevant specialties and institutional affiliations.

Platform URLs:
• Landing Page: http://localhost:8000/
• Research Dashboard: http://localhost:8000/authoring-dashboard

Step 2: Interface Familiarization

Explore the two main interface areas: the Landing Page for research discovery and quick access, and the Authoring Dashboard for comprehensive research workflows.

Step 3: AI Assistant Setup

Configure the AI Research Assistant in the sidebar with your medical specialty and research preferences. The AI will build context as you work with documents and content.

Core Research Workflows

Literature Review Workflow

  1. Formulate research question using natural language in AI Assistant
  2. Select appropriate medical specialty and analysis type
  3. Review AI-generated insights with confidence scores and evidence quality
  4. Integrate findings into research document with proper citations
  5. Generate follow-up questions for deeper investigation

Medical Document Analysis

  1. Upload medical documents (PDFs, images, clinical reports)
  2. Wait for OCR processing and content extraction
  3. Initiate AI analysis for comprehensive medical intelligence
  4. Review analysis sections: summary, findings, recommendations
  5. Extract specific data points and integrate into research

Collaborative Research

  1. Create research project with appropriate permissions
  2. Invite collaborators and establish research protocols
  3. Use real-time editor with AI suggestions and version control
  4. Manage citations and references collectively
  5. Generate publication-ready exports with validation

AI Research Assistant Features

Enhanced Query System

Natural language processing with medical terminology understanding, automatic query refinement, and voice input support.

Quick Templates
  • • Drug Interactions
  • • Clinical Guidelines
  • • Differential Diagnosis
  • • Treatment Options
Analysis Types
  • • Literature Review
  • • Clinical Guidelines
  • • Drug Information
  • • Case Analysis

Context Intelligence

The AI Assistant continuously builds understanding through multiple data sources:

Context Sources (Weighted)
  • • Document content analysis (25%)
  • • Research topic clarity (20%)
  • • Medical file intelligence (30%)
  • • AI research history (15%)
  • • Specialty focus (10%)
Context Indicators
  • 🟢 Green (80%+): Comprehensive context
  • 🔵 Blue (60-79%): Good targeted assistance
  • 🟣 Purple (<60%): Building context

Publication Hub

Comprehensive Publication Management

The Publication Hub provides a centralized platform for managing all aspects of research publication, from ORCID integration to one-click Zenodo publishing with perfect format preservation.

ORCID Professional Profile

Connect your research to your professional ORCID profile for academic recognition and proper attribution.

Features:
  • • Profile Connection: Link your ORCID ID to all publications
  • • Automatic Attribution: Research automatically credited to your profile
  • • Academic Recognition: Enhance discoverability and citation tracking
  • • Professional Networking: Connect with global research community

Export Ready Files

Download your research in multiple scientific formats optimized for publication and sharing.

HTML Export

Perfect format preservation with charts, equations, and interactive elements.

LaTeX Export

Academic-grade formatting for journal submissions and conferences.

Export Management
  • • Version Control: Track and manage multiple export versions
  • • Format Optimization: Automatic formatting for target platforms
  • • Preview System: Review exports before publication
  • • Batch Processing: Export multiple documents simultaneously

Zenodo One-Click Publication

Publish your research directly to Zenodo with automatic DOI assignment and perfect format preservation.

Zenodo Integration Features
Publication Process
  • • Immediate DOI assignment
  • • Automatic community submission
  • • Multilingual support (English & Greek)
  • • Professional metadata handling
Format Preservation
  • • 100% HTML formatting preservation
  • • Chart and visualization integrity
  • • MathJax equation rendering
  • • Table structure maintenance
Publication Workflow
  1. Complete your research in the authoring workspace
  2. Click "Publication Hub" to access publication tools
  3. Select "Publish to Zenodo" for one-click publication
  4. Fill in publication metadata (title, authors, abstract, keywords)
  5. Choose publication type and language settings
  6. Click "Publish to Zenodo" to complete publication
  7. Receive immediate DOI and publication URL
  8. Research automatically submitted to MedResearch AI community

Academic Repository Integration

Direct links and integration with major academic repositories and platforms.

Zenodo

Open Science Repository

Figshare

Research Data Repository

ResearchGate

Academic Network

Peer-Reviewed Journal Access

Quick access to submission portals for major medical and scientific journals.

Featured Journals
• Nature
• The Lancet
• BMJ
• PLOS ONE
• Frontiers
• Cell
• Science
• NEJM

Publication Best Practices

Professional Tips
  • • Connect ORCID first for professional recognition
  • • Use HTML exports for perfect formatting preservation
  • • Check journal guidelines before submission
  • • Leverage Zenodo DOI for immediate citable references
  • • Submit to peer-reviewed journals for academic credibility
  • • Utilize community features for collaboration and feedback

Medical Intelligence System

Document Processing Capabilities

Supported File Types
  • • PDF documents (clinical reports, research papers)
  • • Medical images with OCR text extraction
  • • Laboratory reports and test results
  • • Continuous glucose monitoring (CGM) data
  • • Clinical notes and discharge summaries
Analysis Components
  • • Document classification and type detection
  • • Clinical significance assessment
  • • Structured information retrieval
  • • Evidence-based recommendation generation
  • • Quality assurance and confidence scoring

AI Analysis Output

Comprehensive medical analysis includes multiple structured sections:

Core Analysis
  • • Executive Summary
  • • Key Findings
  • • Clinical Recommendations
Quality Assessment
  • • Methodology Evaluation
  • • Data Quality Assessment
  • • Limitations Analysis
Clinical Context
  • • Medical Context
  • • Next Steps
  • • Professional Review Notes

Best Practices for Medical Research

Effective AI Utilization

  • Be specific about patient populations, conditions, and clinical parameters
  • Always review AI confidence scores and verify critical information
  • Use AI as a research accelerator, not a replacement for clinical judgment
  • Document AI assistance and limitations in research methodology

Research Quality Standards

  • Prioritize high-quality, peer-reviewed sources with appropriate methodology
  • Assess study methodology, sample sizes, and potential biases
  • Evaluate clinical relevance and applicability to target populations
  • Maintain detailed research logs and decision documentation

Professional Design System

Design Philosophy

The MedResearch AI Platform employs a clinical-grade design system that reflects the serious nature of medical research while maintaining usability and accessibility.

Color Palette
Primary Blue (#1e40af)
Success Green (#059669)
AI Purple (#7c3aed)
Critical Red (#dc2626)
Typography
Primary Font: Inter, Segoe UI, Roboto
Hierarchy: Clear size and weight progression
Readability: High contrast, optimal line spacing
Accessibility: WCAG 2.1 AA compliant