ADAGIO Project
Adaptive Digital AI-Guided Interventions and Operations
Research project developing adaptive digital tools and AI-driven assistance for complex medical interventions, with intelligent systems that learn and adapt to surgical environments.
ADAGIO Project
Research project developing adaptive digital tools and AI-driven assistance for complex medical interventions, with intelligent systems that learn and adapt to surgical environments.
Project Overview
The ADAGIO project focuses on developing adaptive digital tools and AI-driven assistance systems for complex medical interventions. By combining machine learning, real-time simulation, and clinical expertise, ADAGIO creates intelligent systems that learn and adapt to diverse surgical environments, improving outcomes and safety for patients.
Project Focus Areas:
- Adaptive AI systems for surgical guidance
- Digital health tools for clinical integration
- Real-time learning from surgical data
- Intelligent decision support for medical interventions
Key Innovations
Context-Aware Guidance
Systems that adapt to the specific surgical context.
Real-Time Learning
Continuous improvement from procedural feedback.
Predictive Systems
Anticipating surgical needs before they arise.
Digital Platform
Seamless embedding in existing OR environments.
Medical Applications
- 🔬 Minimally Invasive Surgery: AI-guided endoscopic and laparoscopic procedures
- 🏥 Complex Interventions: Assistance in high-risk, multi-step procedures
- 👨🏫 Training & Simulation: Adaptive training platforms for surgical residents
- 📊 Quality Monitoring: Real-time quality control during procedures
Research Approach
- Data Collection: Gathering rich procedural datasets from clinical partners
- Model Development: Building adaptive AI models trained on surgical data
- Simulation Validation: Testing in high-fidelity simulation environments
- Clinical Trials: Controlled validation in clinical settings
Publications
Key Papers
Team
- Principal Investigator: Dr. Yinoussa Adagolodjo
- PhD Students: Recruited for AI and medical robotics research
- Clinical Partners: Healthcare institutions for validation
Related Projects
- IRE Project — Soft robotic endoscopes and digital twins
- Growing Robot — Vine-inspired soft robotics
- COSSEROOTS — Cosserat theory for soft robot control
Contact us for collaboration opportunities.