Jae Hoon Jeong
CEO
AI
AIDOT Inc.
AIDOT develops an AI-based cervical cancer screening system that utilizes deep learning algorithms trained on gynecologic oncologist diagnosis data to provide real-time detection and diagnosis within five seconds. This technology enhances the speed and accuracy of cervical cancer screenings, addressing the challenges of timely and precise diagnosis in women's health.
- Artificial Intelligence
- Digital Health
- Healthcare Technology
- Software Only
Updated 7 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Cervical cancer screening relies on accurate and timely detection of precancerous lesions, but current methods can be slow, subjective, and prone to human error. Delays in diagnosis and treatment can lead to disease progression and reduced patient outcomes.
Solution
AIDOT develops AI-powered diagnostic solutions for real-time detection of cervical cancer. Their Cerviray AI system analyzes colposcopic images using deep learning algorithms trained on gynecologic oncologist diagnosis data, providing clinicians with objective decision support. The system identifies potential abnormalities and generates a SWEDE score based on IFCPC nomenclature within five seconds, aiding in accurate and consistent assessment. By automating image analysis and standardizing reporting, Cerviray AI aims to improve the speed and accuracy of cervical cancer screenings, reduce healthcare imbalances, and facilitate timely intervention.
Target Audience
The primary target audience includes gynecologists, oncologists, and healthcare providers involved in cervical cancer screening programs.
Features
- AI-driven analysis of colposcopic images for real-time detection of precancerous lesions
- Deep learning algorithms trained on gynecologic oncologist diagnosis data
- Automated generation of SWEDE score based on IFCPC nomenclature
- Results provided within five seconds
- Integration with existing colposcopy equipment