General Overview: Similar Patents in AI-Based Medical Decision Platforms Using Arrays of Agents (Oncology)

1. Patent Landscape Summary

Patents covering AI-based medical decision platforms—especially those employing arrays of agents—have seen considerable growth, particularly for oncology applications. These inventions are usually classified under:

・ Multi-agent systems for healthcare applications

・ AI-driven clinical decision support

・ Ensemble machine learning for diagnostics and therapy recommendations

Common claims involve:

・ Architecture/configuration of multi-agent systems

・ Methods of decision-making or consensus-building among agents

・ Novel data processing or interpretive algorithms

・ Integration with clinical workflows or EHRs

・ Specific medical (e.g., oncological) use-cases

2. Illustrative Examples of Similar Patents

Below are representative—though not exhaustive—patent approaches and claim strategies seen in the space:

A. Clinical Decision Support via Multi-Agent AI

・ Patent Example: "System and method for medical decision support using multiple agents"

・ Key Claims:

・ Use of heterogeneous agents (different AI models or expert rule sets) to assess patient data

・ Aggregation or voting logic to reach or recommend an optimal clinical decision

・ Learning or feedback mechanisms for agents to adapt over time

・ Integration with oncology data sources, imaging, or biomarker data

B. AI Ensemble Systems for Oncology

・ Patent Example: "AI Platform for Oncology Diagnosis Using Agent Collaboration"

・ Key Claims:

・ Framework in which separate AI agents specialize (e.g., radiology, pathology, genomics)

・ Synchronous or asynchronous communication between agents

・ Consolidation into a unified diagnostic or treatment plan

・ Real-time update of knowledge base using new data (e.g., latest clinical trials)

C. Medical Workflow Optimization with AI Agents

・ Patent Example: "Automated treatment planning with distributed artificial intelligence"

・ Key Claims:

・ Task allocation among agents per patient case complexity

・ Dynamic adjustments based on patient response or physician feedback

・ Ensuring traceability and auditability of agent-generated recommendations

3. General Guidance for Claiming Innovations in Multi-Agent AI (Oncology)

Claim Structure

1. System Claims

・ The overall architecture (array of agents, communication methods, interface with user or EHR)

・ The characteristics/types of agents (e.g., each agent specializing in a subdomain)

2. Method Claims

・ How patient data is processed (unique preprocessing, handling of multimodal data, consensus protocols)

・ Steps of decision-making and feedback integration

3. Use or Application Claims

・ Application of the AI platform to specific oncological scenarios (e.g., predicting therapeutic response, aiding tumor boards)

4. Algorithmic Novelty

・ Any unique logic, voting, or meta-learning approach that distinguishes your platform, even if described generally

4. Notable Public Examples/Visuals

Note: No direct links to relevant US patents surfaced in this brief search, but the following visuals and references may provide context for common architectures in the field:

・

・ !AI systems integrating multi-modal data for decision making30138-8/asset/79bf6502-e388-448e-ab2e-27439058989a/main.assets/gr1_lrg.jpg)

5. Resources and Next Steps

・ Search the USPTO Patent Database with terms like "AI multi-agent oncology decision support"

・ Review World Intellectual Property Organization (WIPO) filings for international approaches

6. Summary Table: Key Elements in Similar Patents

| Patent Area | Type of Claims | Typical Features/Focus |

|------------------------------------|-------------------------------|----------------------------------------------------------------|

| Multi-Agent Architectures | System, Method | Configurations, agent interactions, scalability |

| Ensemble Medical AI for Oncology | System, Algorithm, Application| Multiple AI types, data fusion, expert integration |

| Workflow Integration | System, Use | EHR integration, treatment planning automation |

| Consensus/Decision Algorithms | Algorithm, Method | Voting, meta-learning, feedback incorporation |

Patent claims should highlight what is novel and non-obvious about your agent array, the methodology, or the application specific to medical decisions in oncology—especially if you have developed unique communication, data analysis, or knowledge integration techniques. Avoid only describing what AI or agents do generally; focus on how your implementation is different or better.

If you wish to see specific patent numbers or full claim language, I recommend a targeted search via the USPTO or discussion with a patent attorney for confidentiality and strategy.

Let me know if you need examples of actual claim language, a claim draft, or step-by-step guidance on framing your invention claims!