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quantusTX

Automatic assessment of the presence of pathologies such as atelectasis, consolidation and pneumothorax.

Non-invasive: quantusTX It is based on the analysis of chest X-rays, thus avoiding the need to use an invasive technique.

Fast: TX generates accurate results in just a few minutes.

QuantusTX reliability table

  Sensitivity Specificity PPV * NPV *
quantusTX - atelectasis 86.5% 73.8% 76.6% 84.7%
quantusTX - consolidation 89.8% 82.0% 82.4% 89.5%
quantusTX - pneumothorax 86.9% 84.8% 84.9% 86.8%
* PPV and NPV (Positive Predictive Value and Negative Predictive Value)

WHY DOES quantusTX WORK?

An automated support tool is defined as one that requires minimal or no intervention from the physician to obtain a result. Over the past few years, research has focused on automatic algorithms to improve current clinical diagnosis from images. The rise of Artificial Intelligence techniques and especially Deep Learning, has increased the number of studies using this type of algorithms in diagnostic ophthalmology.

Several recently published studies show that lung disease detection using trained Deep Learning models can achieve high accuracy in diverse populations and provide quantitative comparisons of how model performance may vary across datasets.

quantusTX is presented as a novel Artificial Intelligence method based on cutting-edge Deep Learning. It allows identifying patterns associated with specific pathologies and determining the risk of their severity in the lung.

WHEN TO USE quantusTX?

quantusTX has been designed with a clear focus on the population with lung problems, and aims to be a tool for rapid detection of pathologies, being of great help in the screening of patients with risk factors, patient monitoring and prioritization of waiting lists.

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