One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction
One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction explores A case-adaptive multi-agent system that dynamically assembles specialist panels for clinical prediction, improving accuracy and transparency.. Commercial viability score: 5/10 in Clinical AI Agents.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisMedCoRAG: Interpretable Hepatology Diagnosis via Hybrid Evidence Retrieval and Multispecialty ConsensusViability: 3.0
- Prior WorkStop Listening to Me! How Multi-turn Conversations Can Degrade Diagnostic ReasoningViability: 5.0
- Prior WorkEvoClinician: A Self-Evolving Agent for Multi-Turn Medical Diagnosis via Test-Time Evolutionary LearningViability: 5.0
- Higher ViabilityClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-MemoryViability: 7.0
- Higher ViabilityImproving Clinical Diagnosis with Counterfactual Multi-Agent Reasoning