The expertise from the world's top specialists in lung ultrasound was gathered and sorted out in the product application. Their skill is currently rapidly accessible to the clinical network, in a practical way, complimentary, only a couple of snaps away.

You simply need to stack the patient's sweeps and the product naturally contrasts them and information accessible, giving a precise examination that can assist specialists with making an analysis.

<span style="color: #ff6600;"><a style="color: #ff6600;" href="https://ieeexplore.ieee.org/document/9093068">Man-made brainpower gives speed and exactness, appearing and evaluating variations from the norm because of changes at the lung surface.</a></span> This will bolster specialists in making a quicker and exact conclusion.
<blockquote><em>Truth be told, lung ultrasound imaging (ultrasonography) uncovers explicit examples that empower specialists to comprehend patients' conditions and pick the most ideal treatment. Ultrasound waves, at the end of the day, are utilized to 'snap a photo' of the lungs and uncover any change.</em>
<em>It is up to doctors to make a diagnosis. But these algorithms can be of great help. They keep on improving as we acquire, process, and analyze more data."</em>
-                      -Libertario Demi, Co-ordinator of the ICLUS project, University of Trento</blockquote>
<blockquote>"These algorithms are used in hospitals and emergency rooms as we speak. We have started a collaboration with the Provincial Health Care Service, which is about to define a test phase in Trentino, and the Catharina Hospital in Eindhoven is already on board."</blockquote>
"The technology is being used in hospitals across Italy in Brescia, Valle del Serchio-Lucca, at Policlinico Universitario A. Gemelli and at Policlinico Universitario San Matteo.

"The collaboration between medical doctors, physicists, and computer engineers are crucial for its development. We are available to train health care workers and to further develop algorithms that can help them manage the pandemic."

"This solution is easily implemented: it is already available through a web application thanks to which doctors from all over the world can have algorithms to examine their ultrasound data in real-time. Doctors will be able to monitor the evolution of the disease at the patients' site as this technology is also available through wireless ultrasound systems".

These demonstrative enhancements could likewise make triage progressively effective: "The calculations give a reaction surprisingly fast - clarified Demi. You can look at least five patients for each hour with one machine. On the off chance that you duplicate this for all the accessible machines, the testing, and checking limit is essentially expanded".

This arrangement likewise offers different favorable circumstances over elective imaging innovations, for example, CT or MRI. It is financially savvy, can be introduced on profoundly convenient gadgets that can be used at patients' site, doesn't utilize ionizing radiation (similarly as with CT), and can assist with limiting the danger of pollution since it unequivocally diminishes patients' versatility.

<strong>Source:</strong>
University of Trento
<strong>Journal reference:</strong>
Roy, S., et al. (2020)<em> Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound</em>. IEEE Transactions on Medical Imaging. <span style="color: #ff6600;"><a style="color: #ff6600;" href="https://ieeexplore.ieee.org/document/9093068">doi.org/10.1109/TMI.2020.2994459.</a></span>