AI ANALYSIS FOR YOUR ENTERPRISE
Deep learning-based system to predict hepatocellular carcinoma resection volume using contrast-enhanced CT
This paper presents LRVCD, an AI-based system for precise and efficient calculation of liver resection volume and parenchymal hepatic resection rate (PHRR) using contrast-enhanced CT images. It significantly reduces calculation time compared to manual 3D simulation software and demonstrates strong clinical applicability.
Executive Impact
Quantifiable advantages for your operations.
0
Time Reduction (vs manual)
0
Validation Cohort Size
0.0
PHRR Accuracy
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Overview
Methodology
Results
Discussion
20x Faster
Preoperative Volume Calculation
Enterprise Process Flow: LRVCD System
CECT Raw Images Input
→
AI Inference Stage (Tumor & Segment Seg.)
→
Surgical Information Input
→
Resection Volume Calculation
→
PHRR & 3D Visualization Output
| Metric | LRVCD (AI-based) | Manual 3D Simulation |
|---|---|---|
| Overall Calculation Time | 28.22 ± 4.53 seconds | 582.0 ± 219.7 seconds |
| Inter-observer Variability | Minimized | Prone to variability |
| PHRR Accuracy (RMSE) | 1.999 (Internal) | Reference Standard |
Streamlining Preoperative Planning
The LRVCD system demonstrated its capability to significantly reduce the time consumed by nearly twenty folds, from 582.0 ± 219.7 seconds to 28.22 ± 4.53 seconds for total validated patients. This streamlining of clinical workflows allows for faster surgical planning and potentially improved patient outcomes by enabling more timely and precise interventions. The system's consistency with experienced surgeons' planning results highlights its potential to alleviate the workload of radiologists and improve turnaround times for critical surgical plans, contributing to cost reduction.
Calculate Your Potential AI ROI
Estimate the tangible benefits of integrating AI into your enterprise operations.
Estimated Annual Savings
$0
Annual Hours Reclaimed
0
Your AI Implementation Roadmap
A phased approach to integrate deep learning solutions into your workflow.
Phase 1: Discovery & Strategy
Comprehensive assessment of current workflows, identification of AI opportunities, and tailored strategy development for maximum impact.
Phase 2: Pilot & Validation
Development and deployment of a proof-of-concept AI model using your data, rigorously validated against existing methods for performance and ROI.
Phase 3: Integration & Scaling
Seamless integration of the validated AI system into your existing IT infrastructure, with plans for scalability and broader departmental adoption.
Phase 4: Optimization & Support
Continuous monitoring, performance optimization, and dedicated support to ensure sustained efficiency gains and long-term success.
Ready to Transform Your Operations?
Book a personalized strategy session to explore how deep learning can deliver a competitive edge for your enterprise.
Ready to Get Started?
Book Your Free Consultation.
Let's Discuss Your AI Strategy!
Lets Discuss Your Needs
Select a Date
Sun
Mon
Tue
Wed
Thu
Fri
Sat