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Transforming Healthcare with Artificial Intelligence

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50% of lung cancer patients can be diagnosed earlier

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Improving
The Most Basic and
Universal Diagnostic Test

Chest radiography is one of the most basic and fundamental diagnostic tests used in medicine, accounting for 25% of the annual total numbers of diagnostic imaging procedures.

Unfortunately, miss rates for proper interpretation of chest radiographs go as high as 30% even for experts,2-3 leading to increased mortality from treatable diseases.

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Alleviating the Burden
in Radiology Workflow

The interpretive performance of chest radiographs differ significantly between specialists and non-specialists, up to 30%.5-7

Moreover, 10% of chest radiographs are reported to be held back for 30 days until the final report is issued. Only 60% of radiographs are reported by radiologists due to overflowing number of cases to interpret

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Accurate and Efficient Diagnosis
Boosted with AI

Improved reading performance. Non-radiology physicians, general radiologists, and even thoracic radiologists can improve their diagnostic accuracy for major chest abnormalities.

Detected Location

The AI generates the location information of detected lesions in the form of heatmaps and outlines.

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Abnormality Score

The AI generates an abnormality score which reflects the AI’s calculation of the actual presence of the detected lesion.

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AI Report

The AI provides a “case report” that summarizes the overall analysis result, narrowed down to each finding.

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