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  • Company Overview
  • Business Overview
    • Global Threat of GI Cancers
    • Market Opportunity
    • The Need for AI Integration
    • AI-Powered Early Detection System
    • Competitive Advantage of Apex AI
  • Commercialization Strategy
    • Phased Commercialization Plan
    • Global Expansion Strategy
  • Appendix
    • Token Utility
    • Tokenomics
    • Company Timeline
    • Intellectual Property
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  • Revolutionizing Gastrointestinal Cancer Diagnostics with AI
  • AI-Powered Cancer Risk Prediction & Diagnosis
  • Clinical Validation: AI vs. Human Accuracy
  • Why AI is Critical for Early Detection in Gastrointestinal Cancer
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  1. Business Overview

AI-Powered Early Detection System

Revolutionizing Gastrointestinal Cancer Diagnostics with AI

Apex AI has developed a cutting-edge AI-driven early detection system for stomach and colorectal cancer, leveraging over 1 million endoscopic imaging datasets to assist in the diagnosis of precancerous lesions, early-stage cancer, and advanced cancer.

How Apex AI’s Solution Works

  • Divides the gastrointestinal tract into 14 anatomical regions for precise localization of abnormalities.

  • Detects key gastrointestinal conditions, including:

    • Precancerous lesions: Atrophic gastritis, intestinal metaplasia.

    • Inflammatory conditions: Gastric ulcers, erosions, colitis.

    • Early and advanced cancers: Stomach and colorectal cancer.

  • Seamlessly integrates with hospital imaging and endoscopic systems to enhance real-time clinical decision-making.


AI-Powered Cancer Risk Prediction & Diagnosis

Apex AI's system offers real-time image analysis, automated abnormality detection, and longitudinal disease tracking.

Core Features of AI-Assisted Endoscopic Diagnosis

  • Patient Search & Data Integration

    • Connects with electronic medical records (EMR) for streamlined patient data access.

    • Allows historical comparisons of previous scans for tracking disease progression.

  • Automated Endoscopic Image Interpretation

    • AI continuously analyzes real-time endoscopic footage, marking potential abnormalities.

    • Provides a comparative review of previous images to detect disease progression over time.

  • Time-Based & Region-Based Disease Tracking

    • Allows doctors to monitor lesion evolution in specific locations within the gastrointestinal tract.

    • Enhances precision in monitoring high-risk patients over multiple screenings.

  • High-Resolution Image Processing & Zoom Analysis

    • Enables doctors to zoom into detected lesions for a more detailed pathological assessment.

    • Reduces false positives by refining image interpretation.


Clinical Validation: AI vs. Human Accuracy

A retrospective clinical study comparing AI-assisted diagnosis with a panel of experienced doctors demonstrated superior accuracy in all key performance metrics.

Cancer Risk Prediction

Accuracy

Sensitivity (Recall)

Specificity

Precision

F1 Score

AI (Stomach Cancer)

95%

94%

99%

95%

0.94

AI (Colorectal Cancer)

99%

98%

99%

98%

0.98

Doctor Panel (4 Physicians Average)

67%

69%

55%

70%

0.67

Key Takeaways

  • AI outperformed human doctors in accuracy, sensitivity, specificity, and precision.

  • The AI model significantly reduces false negatives, ensuring high-risk lesions are detected early.

  • AI-powered endoscopic analysis can improve diagnostic reliability and reduce misdiagnosis rates, leading to better patient outcomes.


Why AI is Critical for Early Detection in Gastrointestinal Cancer

  • Early-stage stomach and colorectal cancers are often misdiagnosed or missed entirely due to subtle visual characteristics.

  • AI enhances diagnostic confidence by improving detection accuracy, reducing human error, and supporting physicians in real-time.

  • By adopting AI-assisted endoscopy, hospitals and clinics can drastically improve cancer survival rates worldwide.

Apex AI is at the forefront of this transformation, providing a next-generation AI diagnostic platform that will shape the future of gastrointestinal cancer detection.

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Last updated 3 months ago