Explanatory Reports
Comprehensive anatomical review covering fetal head, heart, spine, limbs, and placental assessment with medical findings and educational explanations.
AI-Powered Fetal Ultrasound Analysis
Sample ultrasound analysis showing comprehensive medical report generation
Live demonstration of the Fetal Ultrasound Analysis application in action
Project Overview
This innovative healthcare application leverages Google's Gemini Vision Pro model to analyze fetal ultrasound images and generate comprehensive medical reports. The system combines advanced computer vision with sophisticated prompt engineering to provide detailed anatomical assessments that bridge the gap between complex medical terminology and patient-friendly explanations.
🎥 Interactive Demo Available
The video demonstration above shows the complete workflow of the application, including image upload, analysis processing, and comprehensive report generation with both medical findings and patient-friendly explanations.
Key Features
- AI-Powered Image Analysis: Utilizes Google Gemini Vision Pro for sophisticated medical image interpretation
- Dual-Format Reporting: Generates both professional medical findings and patient-friendly explanations
- Multiple Analysis Types: Offers Explanatory Reports, Anomaly Checklists, and Growth Assessments
- Gestational Age Integration: Tailors analysis based on specific pregnancy stage for accurate developmental assessment
- Interactive Web Interface: Streamlit-powered application with intuitive file upload and analysis workflow
- PDF Report Generation: Automated creation of downloadable medical reports for record-keeping
- Comprehensive Anatomical Review: Systematic analysis of fetal head, heart, spine, limbs, and placental structures
Technical Implementation
Advanced Prompt Engineering
The system employs sophisticated prompt engineering techniques to ensure accurate and meaningful analysis:
- Modular Prompt Architecture: Base prompts combined with task-specific instructions for different analysis types
- Dual-Output Structure: Each finding includes both medical terminology and patient-friendly explanations
- Context-Aware Analysis: Incorporates gestational age for developmentally appropriate assessments
- Safety Disclaimers: Built-in medical disclaimers ensuring appropriate use of AI-generated content
Analysis Capabilities
Anomaly Checklists
Systematic evaluation of key developmental markers including nuchal translucency, nasal bone presence, and cardiac structure assessment.
Growth Assessment
Detailed evaluation of fetal biometry measurements (BPD, HC, AC, FL) and amniotic fluid levels for growth monitoring.
Medical Glossary
Automated generation of technical term definitions to help patients understand medical terminology used in reports.
Technology Stack
- AI Model: Google Gemini Vision Pro for multimodal image analysis
- Cloud Platform: Google Cloud Platform for AI services and authentication
- Frontend Framework: Streamlit for interactive web application
- Image Processing: PIL (Pillow) for image handling and format conversion
- Document Generation: FPDF for automated PDF report creation
- Authentication: Google Cloud service account authentication
- Programming Language: Python with object-oriented design patterns
Healthcare Impact & Applications
This project demonstrates significant potential for improving healthcare accessibility and patient education:
- Patient Empowerment: Provides accessible explanations of complex medical imaging results
- Medical Education: Serves as a learning tool for understanding fetal development stages
- Telehealth Support: Enables remote preliminary analysis in underserved areas
- Documentation Enhancement: Automated report generation improves clinical workflow efficiency
- Quality Assurance: Provides second-opinion analysis for healthcare professionals
Ethical Considerations & Safety
- Comprehensive medical disclaimers emphasizing AI assistance rather than replacement of professional diagnosis
- Clear indication that all analysis requires validation by qualified healthcare professionals
- Privacy-conscious design with secure Google Cloud authentication
- Educational focus to enhance patient understanding rather than provide definitive medical advice
Technical Innovations
- Dynamic Prompt Assembly: Context-aware prompt construction based on user inputs
- Multi-Format Output: Simultaneous generation of technical and accessible content
- Gestational Age Integration: Age-specific developmental norm comparisons
- Automated PDF Generation: Professional report formatting with proper medical document structure
- Error Handling: Robust error management for cloud services and image processing