Interpretable Aneurysm Classification via 3D Concept Bottleneck Models: Integrating Morphological and Hemodynamic Clinical Features
Interpretable Aneurysm Classification via 3D Concept Bottleneck Models: Integrating Morphological and Hemodynamic Clinical Features explores An interpretable AI model for aneurysm classification using 3D Concept Bottleneck Models, offering clinical transparency and high accuracy.. Commercial viability score: 7/10 in Medical AI.
Updated 2 days ago
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 $9K - $13K 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 ThisTowards Faithful Multimodal Concept Bottleneck ModelsViability: 4.0
- Prior WorkRethinking Concept Bottleneck Models: From Pitfalls to SolutionsViability: 7.0
- Prior WorkLearning Concept Bottleneck Models from Mechanistic ExplanationsViability: 7.0
- Prior WorkMitigating Bias in Concept Bottleneck Models for Fair and Interpretable Image ClassificationViability: 7.0
- Higher ViabilityXMorph: Explainable Brain Tumor Analysis Via LLM-Assisted Hybrid Deep IntelligenceViability: 8.0