AGORA AI
Where Clinical Knowledge Meets Collective Intelligence
An intelligent assistant designed to support oncology Multidisciplinary Tumor Boards. Built on a Medical Knowledge Graph, AGORA AI combines conversational AI, Retrieval-Augmented Generation, and autonomous agents to deliver comprehensive, contextualized decision support during collegial clinical case discussions.
The problem we solve
Oncology Multidisciplinary Tumor Boards face mounting pressure: growing caseloads, fragmented clinical data across EHRs, imaging, and pathology systems, and the challenge of keeping every discussion aligned with rapidly evolving international guidelines. Clinicians spend hours preparing cases, and critical insights can be lost when meeting time runs short. Traditional tools offer flat search over disconnected documents — they cannot reason across the complex relationships that define oncology decision-making.
Graph-First Intelligence
At the core of AGORA AI is a Medical Knowledge Graph — a structured, interconnected representation of diseases, biomarkers, treatments, guidelines, outcomes, and patient histories. Unlike flat databases or simple document retrieval, the graph enables multi-hop reasoning across complex clinical relationships. Every query traverses real connections between clinical entities, and the graph grows smarter with every meeting — continuously enriched through clinical use, literature updates, and transcribed discussions.
Core Features
Clinical Case Summarization
Generates structured, concise clinical case summaries by integrating data from electronic health records, imaging, pathology, and laboratory results. The knowledge graph maps each data point to its clinical significance, reducing meeting preparation time from hours to minutes.
Guideline Distillation Engine
Automatically extracts and presents the most relevant guideline recommendations (NCCN, ESMO, AISF, AIOM) for the case under discussion, with indication of evidence level. Links each patient's clinical profile to applicable guideline nodes for precise, case-specific recommendations.
Pathway Compliance Monitor
Compares the patient's diagnostic-therapeutic pathway against clinical guidelines and the hospital's Strategic Organizational Plans. Detects deviations, missing steps, or suboptimal sequencing and flags them to the referring physician before the collegial discussion.
Similar Case Retrieval
Identifies previous cases with analogous clinical characteristics — not by keyword matching, but by structural similarity across diagnoses, staging, comorbidities, treatments, and outcomes. Facilitates comparative reasoning and outcome benchmarking.
Visual Patient Timeline
Generates interactive graphical representations of the chronological sequence of examinations, treatments, and interventions for each patient, providing an immediate overview of the clinical pathway.
Meeting Transcription & Knowledge Capture
Automatically transcribes MTB discussions, structures the decisions made, and feeds the system's knowledge base for continuous improvement of future recommendations.
Live Meeting Intelligence
Records the MTB session in real time and processes the ongoing discussion through the knowledge graph and RAG pipeline. Surfaces relevant literature, comparable cases, and guideline recommendations on a secondary display without interrupting the meeting flow.
Dynamic Speaker Prioritization
Analyzes the clinical profile of the case under discussion to determine which medical specialties are most relevant, then suggests an optimal speaking order among board members to ensure the most pertinent experts contribute first.
Automated Clinical Communication
Generates drafts of personalized communications — emails and letters — to be sent to the patient or referring physician with the board's decisions, saving administrative time while maintaining consistency.
Contextual Hospital Adaptation
Adapts to the specific resources, competencies, and protocols of each hospital through integration with local organizational plans. The knowledge graph incorporates each institution's capabilities, ensuring every suggestion is grounded in what is actually feasible on-site.
Key Benefits
Time Optimization
Significant reduction in case preparation and discussion time, allowing clinicians to focus on patient-specific nuances.
Standardization
Decisions always aligned with the most current international guidelines (NCCN, ESMO, AISF, AIOM).
Traceability
Complete, auditable recording of every discussion and decision made during tumor board meetings.
Scalability
Deployable in any Multidisciplinary Tumor Board, regardless of oncology subspecialty.
Reproducibility
Documented and replicable decision-making processes across the organization.
Precision Medicine
Frees up clinical time to focus on patient-specific nuances rather than data gathering and preparation.
Real-Time Support
Live intelligence during meetings — not just before or after — with contextual suggestions as discussions unfold.
How it Works
Data Integration
AGORA AI connects to the hospital's EHR/EMR systems, importing patient data, imaging reports, pathology results, and lab work into the Medical Knowledge Graph.
Graph-Powered Analysis
The knowledge graph maps clinical entities and their relationships, enabling multi-hop reasoning across diagnoses, biomarkers, treatments, and institutional resources.
Real-Time Meeting Support
During the MTB session, the system processes live audio, traverses the knowledge graph, and surfaces relevant literature, guidelines, and comparable cases on a secondary display.
Knowledge Capture & Learning
Decisions and discussions are transcribed, structured, and fed back into the knowledge graph — making the system smarter with every meeting.
Technical Specifications
Architecture
Graph-first design built on a Medical Knowledge Graph with RAG pipeline and autonomous agent layer for multi-step clinical reasoning.
Integrations
Compatible with Electronic Health Records (EHR/EMR), oncology meeting platforms (e.g., HealthMeeting), HL7/FHIR standards.
Security & Compliance
GDPR-compliant with data pseudonymization, end-to-end encryption, and full access traceability. On-premise deployment available.
Audio Processing
Secure on-device speech-to-text engine that processes meeting audio in real time. Recordings processed locally with configurable automatic deletion.
Multilingual Support
English, Arabic, and Italian — extensible to additional languages. Compatible with Gulf healthcare regulatory frameworks (HAAD, CBAHI, MOPH).
Deployment
On-premise deployment for data residency compliance. Scalable for single hospitals or hospital groups/networks. Dedicated training and onboarding included.
Hepatobiliary MTB Scenario
A patient with a complex hepatobiliary tumor is discussed at the weekly MTB. AGORA AI has already prepared a structured case summary from the EHR, highlighting key imaging findings and molecular profiling results.
As the meeting begins, the system identifies that vascular involvement is a critical factor and suggests prioritizing the vascular surgeon and interventional radiologist in the speaking order.
During the discussion, a clinician mentions a specific mutation — the system immediately surfaces the latest NCCN guidelines for targeted therapy options, along with three structurally similar cases from the hospital's history and their outcomes.
The pathologist raises a question about biomarker interpretation; AGORA AI retrieves two recent publications from peer-reviewed journals that address this exact scenario.
The entire discussion is transcribed, decisions are captured, and a draft communication for the referring physician is generated — all within the meeting timeframe.