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BiTNet is an advanced artificial intelligence system designed to assist medical professionals in analyzing biliary tract ultrasound images. Developed by a team of experts at Khon Kaen University in collaboration with the Cholangiocarcinoma Research Institute, BiTNet aims to improve early detection of cholangiocarcinoma (bile duct cancer) and related conditions.

Key Features

- AI-powered analysis of ultrasound images
- Assistance for general practitioners and radiologists
- Improved accuracy of detecting 25 abnormalities in upper abdomen
- Reduced workload for expert radiologists by 35%
- Increased diagnostic accuracy by 18% (up increased by 26%)

Uniqueness

- Biggest & most completed ultrasound dataset of human upper abdomen
- Build trust between docter and AI
- Designed with docters
- Achieved 87% accuracy on 16 classes (25 abnormalities)

Benefits

1. Supports decision-making process for general practitioners
2. Reduces expert radiologist workload
3. Increases accessibility to high-quality screening
4. Contributes to faster and more accurate diagnoses

Impacts

- Improved early detection rates for at-risk populations
- Increased confidence of doctors in diagnosis

Screening for bile duct cancer

Screening for bile duct cancer visk group vid ultrasound images for people in mekhong basin

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AI assesses upper abdomen health

Regular upper abdomen health check up solution for hospitals

Rewards