Ti-LUNG Decision Support
Exploration of nodule properties and spatial information
And export report automatically

Invasive Risk Assesment Prediction

TaiHao's unique analysis of using imaging to evaluate the malignancy of lung nodules

An assessment model was developed using on the imaging characteristics of lung nodules and their pathology reports as a benchmark to provide physicians with an invasive risk prediction assessment.

Compatibility

Ti-LUNG can support mnainly brand LDCT image of the market.

HPA format

Ti-LUNG generate comparison result reports automatically that comply with the format of Taiwan's National Health Administration and are close to clinical requirement.

Lung-RADS classification

Rapid analysis and classification of Lung nodules uses American College of Radiology Lung-RADS classification


TFDA
MOHW-MD
No.007754

Why Choose Ti-LUNG?
Ti-LUNG able to comply with hospital standards and increase physician work efficiency is the main advantage.

Ti-LUNG is a lung computed tomography images decision support system that is used to review and analyze lung computed tomography images, identify suspected nodule areas and evaluate their benign and malignant levels, and provide lung nodule characteristics and Lung-RADS classification can improve reading efficiency, quickly generate diagnostic reports that meet clinical needs, and increase work efficiency of the doctor.

Demo


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