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.

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Years Experience

Hospitals

Papers Published

Patents

PathGPT Engine

Dice >0.95 300% Efficiency 40+ Modules

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Our Solutions

Comprehensive Digital Pathology Platform

From slide digitization to AI-powered analysis, we provide end-to-end solutions for modern pathology labs.

Hardware

VisionX Scanners

High-precision whole slide imaging scanners with exceptional image quality, fast scanning speeds, and seamless integration with AI analysis platforms.

40x magnification

60-240 slides

20s per slide

Deep learning

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AI Software

D-PathAI Platform

Advanced AI-powered pathology analysis platform with deep learning algorithms for automated detection, classification, and quantification of pathological features.

PathGPT engine

40+ modules

99.5% accuracy

Real-time

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Analysis

IHC Quantification

Precise immunohistochemistry analysis with automated scoring, percentage calculations, and comprehensive reporting for biomarker assessment.

Auto H-score

PD-L1, HER2, Ki-67

Quantification

Reports

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Screening

Cytology Screening

Intelligent cytological screening system for early cancer detection, featuring cell classification, abnormality detection, and quality control automation.

Cervical screening

95%+ accuracy

Cell classification

QC automation

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Core 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

Continuous Learning

AI models improve with each case through federated learning

Explainable AI

Heatmap visualizations show exactly where AI focuses

Explore Technology

PathGPT Engine

Deep Learning 10M+ Images

Success Stories

Trusted by Leading Institutions

See how our solutions are transforming pathology workflows around the world.

"DiPath's AI platform has revolutionized our diagnostic workflow. The accuracy and efficiency gains have been remarkable, reducing our reporting time by 60%."

Dr. Sarah Chen

Chief Pathologist, Peking Union Medical College Hospital

"The VisionX scanner delivers exceptional image quality. Combined with D-PathAI, we've achieved unprecedented diagnostic precision in our oncology department."

Prof. James Mitchell

Director of Pathology, MD Anderson Cancer Center

"Implementing DiPath's IHC quantification module has transformed our biomarker testing. The automated scoring is highly accurate and consistently reliable."

Dr. Lisa Wang

Head of Laboratory Medicine, Shanghai Cancer Center

1500+

Hospitals Worldwide

10M+

Slides Analyzed

99.5%

Accuracy Rate

60%

Time Saved

Trusted By

Industry Leaders Choose DiPath

Partnering with global healthcare and technology leaders to advance digital pathology.

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 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 Paper

CVPR 2023 75 cited

Task-Specific Fine-Tuning via Variational Information Bottleneck for WSI Classification

A novel variational information bottleneck approach for weakly-supervised whole slide image classification in computational pathology.

2023 Read Paper

Nature Mach. Intell. IF 18.8

Pathologist-level Interpretable Whole-slide Cancer Diagnosis with Deep Learning

A landmark deep learning framework achieving pathologist-level accuracy in whole-slide cancer diagnosis with interpretable explanations.

2019 Read Paper

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Transforming Cancer Diagnostics with Artificial Intelligence

Comprehensive Digital Pathology Platform

VisionX Scanners

D-PathAI Platform

IHC Quantification

Cytology Screening

Powered by PathGPT Engine

Multi-Scale Analysis

Real-Time Processing

Continuous Learning

Explainable AI

Trusted by Leading Institutions

Industry Leaders Choose DiPath

Published in Leading Journals

ToPoFM: Topology-Guided Pathology Foundation Model for High-Resolution Image Synthesis

PathAsst: A Generative Foundation AI Assistant towards AGI of Pathology

Task-Specific Fine-Tuning via Variational Information Bottleneck for WSI Classification

Pathologist-level Interpretable Whole-slide Cancer Diagnosis with Deep Learning

Ready to Transform Your Pathology Workflow?