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FuxiMind
Pathology-Native AI Multimodal Foundation Model

Pathology-Native AI Multimodal Foundation Model

From recognizing an image to actively seeking evidence. FuxiMind is our in-house, pathology-native multimodal foundation model, providing intelligent pre-screening and AI-assisted diagnosis for whole slide images, with every conclusion traceable and verifiable.

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Why FuxiMind

Not Just a Classifier, but an AI That Finds Evidence

Conventional pathology AI typically outputs labels for a single task and a single field of view; FuxiMind works across the whole slide and the whole case, thinking like a pathologist.

Whole-Slide Multi-Scale Understanding

From low-power tissue architecture to high-power cell morphology, it surveys and localizes at the WSI level.

Active Evidence-Seeking

Automatically finds and numbers (CE) the key evidence regions supporting the diagnosis, with each conclusion mapped to its evidence.

Case-Level Reasoning

Interprets multiple slides from the same case together, outputting a diagnostic conclusion and a detailed comprehensive diagnosis.

Multimodal Fusion

Fuses pathology images, clinical information, and report text to generate structured text that pathologists can cite directly.

Multiple Specimen Types

One foundation supports histopathology, IHC, FNA cytology, exfoliative cytology, DNA ploidy, and more.

Continuous Learning

Pathologist review feedback flows back, and the model keeps improving with in-hospital data, forming an AI-native closed loop.

Architecture

A Layered Foundation for Pathology AI

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Clinical Application Layer

Creating value across clinical scenarios

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Model Layer

FuxiMind Pathology-Native AI Multimodal Foundation Model

Visual Encoding · Whole-Slide Multi-Scale
Image-Text Alignment · Pathology Language
Evidence Localization · Reasoning & Generation
Safety & Compliance · Explainability
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Data Layer

Diverse, large-scale, high-quality

In-House Scanners · Standardized Digital Slides
Multi-Center Partner Hospital Data
Structured Clinical and Report Text
Expert Annotation System
Evidence Chain

The Evidence Chain of a Real Case

Below is the actual platform interface: FuxiMind interprets the whole slide of thyroid case 3333333 and returns 6 pieces of case-level key evidence.

Diagnostic Conclusion

Papillary thyroid carcinoma with invasive papillary and follicular growth and marked stromal fibrosis, focally extending into extrathyroidal fibroadipose tissue, on a background of chronic lymphocytic thyroiditis.

CE-00048

Margin · Text Support

Key region supporting "papillary thyroid carcinoma".

CE-00049

Infiltration · Text Support

Enlarged, crowded and overlapping tumor nuclei with ground-glass, pale chromatin and nuclear grooves.

CE-00004

Infiltration · Text Support

Destructive invasive tumor growth with infiltration into extracapsular fibroadipose tissue.

AI Analysis · Case Diagnosis
Cytology Reasoning

Cytology, Equally Evidence-Based

In FNA cytology, FuxiMind provides risk stratification, a case-level score, and Bethesda classification, lists the morphological features and reasoning supporting the current diagnosis, and attaches all key evidence images for pathologists to check one by one.

  • Risk Stratification · Bethesda Classification

    Case-level scoring and classification suggestions, with concurrent specimen adequacy assessment.

  • Reasoning + Evidence Images

    Every morphological feature comes with a reasoning note and evidence image number.

FNA Cytology · AI Analysis
Get Started

Bring FuxiMind to Your Pathology Department

Supports on-premises deployment and integrates with in-hospital LIS / PIS workflows.

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