Hardware
VisionX Scanners
High-precision whole slide imaging scanners with exceptional image quality, fast scanning speeds, and seamless integration with AI analysis platforms.
Learn About VisionX Scanners
AI-Powered Digital Pathology
Transforming Cancer Diagnostics with Artificial Intelligence
DiPath provides comprehensive digital pathology solutions, from high-precision whole slide scanners to AI-powered analysis platforms, enabling faster and more accurate cancer diagnoses worldwide.
20+
Years Experience
1500+
Hospitals
200+
Papers Published
PathGPT Engine
Our Solutions
Comprehensive Digital Pathology Platform
From slide digitization to AI-powered analysis, we provide end-to-end solutions for modern pathology labs.
AI Software
D-PathAI Platform
Advanced AI-powered pathology analysis platform with deep learning algorithms for automated detection, classification, and quantification of pathological features.
Learn About D-PathAI Platform
Analysis
IHC Quantification
Precise immunohistochemistry analysis with automated scoring, percentage calculations, and comprehensive reporting for biomarker assessment.
Learn About IHC Quantification
Screening
Cytology Screening
Intelligent cytological screening system for early cancer detection, featuring cell classification, abnormality detection, and quality control automation.
Learn About Cytology Screening
Core Technology
Explore Technology
Powered by PathGPT Engine
Our proprietary PathGPT engine combines state-of-the-art deep learning architectures with millions of annotated pathology images to deliver unprecedented diagnostic accuracy.
Multi-Scale Analysis
Processes images at multiple magnifications for comprehensive evaluation
Real-Time Processing
Sub-second analysis with GPU-accelerated inference
Explainable AI
Heatmap visualizations show exactly where AI focuses
PathGPT Engine
Success Stories
Trusted by Leading Institutions
See how our solutions are transforming pathology workflows around the world.
"The collaboration with DiPath has facilitated the development and implementation of our AI system for nasal polyp diagnosis. The Chronic Sinusitis AI Microscope Diagnostic System, built on VisionX scanners and the D-PathAI platform, is now undergoing clinical trials in over 100 hospitals across China, significantly improving the efficiency and standardization of nasal pathology diagnosis."
The Third Affiliated Hospital of Sun Yat-sen University
Clinical Collaboration Partner
"DiPath's AI solutions have enhanced our molecular diagnostics. The joint-developed chromosomal karyotype analysis system achieves >90% accuracy for leukemia and Down syndrome diagnosis, while our bone marrow blood cell identification system delivers 95% detection rate for hematological diseases."
West China Hospital of Sichuan University
Clinical Collaboration Partner
"DiPath's AI solutions enabled the development of an NSCLC PD-LI intelligent analysis platform. The Immunohistochemistry Digital Pathology Image Analysis Software, co-developed with leading Chinese institutions and AstraZeneca, has obtained NMPA Class II registration and is now clinically applied across multiple hospitals. Related research has been featured in MICCAI and Journal of Translational Medicine (IF: 8.87)."
Fudan University Shanghai Cancer Center
Clinical Collaboration Partner
Industry Leaders Choose DiPath
Research
Published in Leading Journals
Our research has been published in top-tier medical and scientific journals worldwide.
IEEE TMI
IF 11.3
ToPoFM: Topology-Guided Pathology Foundation Model for High-Resolution Image Synthesis
A topology-guided pathology foundation model enabling high-resolution pathology image synthesis with cellular-level control.
2025
Read IEEE TMI Paper
AAAI 2024
Oral · 59 cited
PathAsst: A Generative Foundation AI Assistant towards AGI of Pathology
A generative foundation AI assistant for pathology, bridging large language models with expert pathology knowledge for diagnostic support.
2024
Read AAAI 2024 Paper
Ready to Transform Your Pathology Workflow?
Join thousands of pathologists and healthcare institutions already using DiPath to improve diagnostic accuracy and efficiency.